Vanderweil Engineers Jobs in Usa
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Location: Remote
Duration: 12 Months (Possibility of extension)
Job Description:
Your Team & Role As an Infrastructure Security Engineer for the Global Technology Workforce Identity and Access Management (IAM) Team, you will partner with technology leads and engineers to develop and improve IAM solutions. You will design, test, and engineer new and existing solutions and streamline our day-to-day workflows, and help the Identity engineering team to meet project timelines and complete net new business as usual (BAU) work. The work will be around Security and Engineering of our Tier Zero Identity platform and Active Directory Domain Services (AD DS) systems.
Here is What You Can Expect on a Typical Day:
- Develop high quality, well documented engineering configuration and infrastructure solutions that adhere to all applicable clients security standards
- Ensure product and infrastructure security is maintained throughout the system lifecycle, integrating new security features, patches, and updates into existing environments
- Collaborate with tech leads in understanding system requirements, defining stories, creation of technical designs, and deployment of solutions
- Support engineering and other team members to understand systems end-to-end and deliver robust solutions that support positive business impact
- Write scripts and automation code to support areas such as operational excellence, production validation, and security for our Windows servers and identity infrastructure platform
- Research problems discovered internally or by stakeholders and consumers, ideate and develop solutions to mitigate without negative impact to the business
- Bring an applied understanding of relevant and emerging technologies, begin to identify opportunities to provide input to the team and coach others, and embed learning and innovation in the day-to-day
- Work on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors
- Use programming languages including but not limited to PowerShell, Terraform, ARM templates, etc.
The work requires a minimum of 5-8 years of experience in the following areas:
- Infrastructure: Hyper-V and Windows Server Operating systems
- Observability: System Center Operations Manager (SCOM) / Azure Monitoring
- Configuration: System Center Configuration Manager (SCCM) / Azure Arc
- Identity: Active Directory Domain Services (AD DS) / Microsoft Entra ID
- Automation: PowerShell, Infrastructure and Configuration as Code (e.g. Chef, Ansible)
- Databases: SQL Server
Experience in:
Triaging and troubleshooting identity and infrastructure issues
Development of Automation and Deployments for Hyper-V and Windows Server Infrastructure
Automated testing and validation to support non-production and production changes
Writing clear engineering and system documentation (e.g. in Confluence)
Duration: 11 Months (Contract to hire)
Location: Columbia, SC
Onsite Requirements: Partially onsite 3 days per week (Tue, Wed, Thurs) and as needed.
Standard work hours: 8:00 AM - 5:00 PM
**Credit check will be required**
Job Summary:
Day to Day:
- A typical day will involve a mix of hands-on coding, architectural design, and research.
- The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
- This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
- They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
Team: The team is an innovative, collaborative, and empowering environment. We are building the next generation of AI solutions for the enterprise in a fast-paced, project-oriented setting. This is a multi-platformed environment that values creativity, continuous learning, and a customer-focused mindset. The new engineer will play a crucial role in shaping our AI strategy and building foundational tools and accelerators that will drive innovation across the company.
Job Requirements:
**This is a new role to establish a core competency in agentic AI systems. This engineer will be pivotal in designing and deploying advanced AI agents and will build the foundational frameworks for future AI use cases across the organization.**
Required Experience:
Required Software and Tools (Hands on experience required):
- Python
- JavaScript/TypeScript
- AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
- AI Models (e.g. Claude, OpenAI, etc.)
- AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
- Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
- Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
- API Design
Python & AI/ML Libraries:
- Deep hands-on experience in Python for AI/ML development.
- Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
- Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
- Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
Minimum Required Education: Bachelor's degree-in Computer Science, Information Technology or other job related degree or 4 years relevant experience or Associates degree + 2 years relevant experience
Minimum Required Work Experience: 6years-of application development, systems testing or other job related experience.
Required Technologies: 3-6 years of hands-on experience in Artificial Intelligence, Machine Learning, or related fields.
Nice to have/Preferred skills:
- Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
- Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
- Experience developing autonomous agents using cloud-based AI services.
- Experience with prompt engineering techniques and model fine-tuning.
- Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
- Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
tvScientific is looking for aSenior QA Engineer for its Web Platformwith strong expertise inweb and API testing. This role requires a balance ofmanual testing excellenceandautomation skills, with a focus on validating end-to-end user flows across frontend, backend services, and APIs.
You will partner closely with frontend engineers, backend engineers, product managers, and designers to ensure our web platform and APIs are reliable, secure, and performant.
What you'll do:
- Own and drivequalityfor web platform features, spanning UI, APIs, and backend services
- Design and executemanual test casesandexploratory testingfor complex web and API workflows
- Conduct thorough regression testing when bugs are resolved.
- Build and maintainautomated test suitesfor:
- Validatefrontend-backend integration, data consistency, and error handling
- PerformAPI contract testing, schema validation, and negative/edge-case testing
- Collaborate with engineers duringdesign, implementation, and code reviewsto improve testability and catch issues early
- Integrate automated tests intoCI/CD pipelinesto provide fast, reliable feedback
- Analyze test failures, investigate root causes, and drive issues to resolution
- Advocate for quality best practices, includingshift-left testing, risk-based testing, and automation strategy
- Identify, document, and track software defects using bug tracking tools like Jira.
What we're looking for:
- Experience in QA / Quality Engineering, with a strong focus onweb platforms and APIs
- Proven hands-on experience withmanual testingof complex, consumer-facing web applications
- Strong experience building and maintainingAPI testsusing tools such as Postman, REST-assured, Supertest, or similar
- Hands-on experience withweb automation frameworks(Playwright, Cypress)
- Solid understanding ofHTTP, REST and API design principles
- Proficiency in at least one programming or scripting language (JavaScript, TypeScript)
- Experience working inAgile/Scrumenvironments
- Strong debugging, analytical, and communication skills
- Strategic partnership with stakeholders /Cross-functional collaboration that is high-trust and high-velocity
- Nice-to-Haves:
- Experience testinglarge-scale, high-traffic web platforms
- Familiarity withReact or modern frontend frameworks
- Experience withperformance, load, or reliability testingfor APIs and web applications
- Exposure to feature flags, experimentation platforms, or observability tools
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
#LI-SM4
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$109,242—$224,910 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Business Overview
KINESSO is the technology-driven performance marketing agency providing actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, P3, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. We have extensive offerings spanning across performance marketing and data and technology. Fueled by a deep understanding of consumer behavior, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countries. Learn more at Summary
We are seeking a Staff Software Engineer to spearhead the design and development of a next-generation AI Chat Application that will serve as an enterprise-wide assistant. This application will support a diverse range of organizational functions-including HR, Finance, Business Strategy, Ad Tech, and MarTech-empowering employees with intelligent, context-aware AI capabilities to streamline daily work.
As the Staff Software Engineer, you will guide the technical direction, mentor engineers, and partner with cross-functional teams to deliver a scalable, secure, and high-performing platform.
Responsibilities
- Lead Architecture & Development: Define and implement the architecture for an AI-driven chat platform leveraging Python, GCP, and AI services.
- Team Leadership: Mentor and guide a team of engineers, driving technical excellence, collaboration, and delivery.
- LLM Integration: Build and optimize solutions with LLM foundational models to support natural language understanding, contextual reasoning, and multi-domain workflows.
- Partner with Product Owners: Collaborate closely with product owners to assess technical feasibility, translate business needs into actionable engineering requirements, and ensure alignment with overall product strategy.
- Scalability & Reliability: Ensure the system is designed with enterprise-grade security, scalability, and compliance in mind.
- Innovation: Explore and adopt emerging practices in prompt engineering, multi-agent coordination (MCP/LLM agents), and applied AI to continuously evolve the platform.
Required Skills & Experience
- 12+ years of software engineering experience building production-grade applications.
- 7+ years of experience with Java (Python experience strongly preferred).
- 3+ years of experience leading or managing engineering teams.
- Strong grasp of object-oriented programming, data structures, algorithms, and design patterns.
- Experience designing and building scalable APIs (REST, GraphQL, gRPC) and modular, extensible architectures.
- Hands-on experience with relational and NoSQL databases (e.g., MSSQL, PostgreSQL, DynamoDB).
- Familiarity with messaging and event-driven platforms like Kafka, Temporal for real-time systems.
- Strong expertise in GCP and integrating AI services with LLM foundational models.
- Experience with AI-powered developer tools (e.g., GitHub Copilot, Claude) to improve productivity and code quality.
- Strong troubleshooting, communication, and documentation skills, with a bias for secure, observable, and maintainable solutions.
- Comfortable working in Agile/Scrum environments with cross-functional teams.
Desired Skills & Experience
- Experience with context engineering and fine-tuning AI/LLM outputs.
- Familiarity with Model Context Protocol (MCP) for LLM agent orchestration.
- Knowledge of LLM agent frameworks for building multi-step, reasoning-driven AI systems.
- Experience in enterprise-grade security and compliance frameworks.
Wage and Benefits
We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications.
Employment Transparency
It is the policy of our company to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.
For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with our company, please email .
Salary Range$180,000—$200,000 USDCompany Description
PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.
Our Mission:
We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.
Our Values:
To put Human Experience at the heart of organizations so every person can be seen and understood.
- Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
- Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
- Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
- Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
- Better together:We check our egos at the door. We work together, so we win together.
Duties & Responsibilities
Design and implement processes, systems and automation to streamline the development and deployment of AI solutions.
Architect robust, reliable solutions for specific AI applications using appropriate cloud-based and open source technologies.
Design and automate data pipelines to deliver complex data products to power training and online inference of AI systems.
Deploy ML models, LLMs and GenAI systems into production, ensuring reliability, efficiency, and scalability across cloud or hybrid environments.
Build and maintain robust CI/CD pipelines tailored to ML model lifecycle management, ensuring a streamlined and agile deployment process.
Monitor model performance, identify potential improvements, and integrate feedback loops for continuous learning and adaptation.
Integrate models with chat interfaces and conversational platforms to create responsive, user-centric applications.
Investigate and implement agent-based architectures that support conversational intelligence and interaction modeling.
Collaborate with cross-functional teams to design AI-driven features that enhance user experience and interaction within chat interfaces.
Work closely with data scientists, product managers, and engineers to ensure alignment on project goals, data requirements, and system constraints.
Mentor junior engineers and provide guidance on best practices in ML model development, deployment, and maintenance.
Create and maintain comprehensive documentation for model architectures, code implementations, data workflows, and deployment procedures to ensure reproducibility, transparency, and ease of collaboration.
Technical Skills
Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP.
Experience deploying and managing a variety of database technologies.
Experience deploying ML models at scale and optimizing models for low-latency, high-availability environments.
Strong programming skills in Python and proficiency in libraries such as NumPy, Pandas, and Scikit-learn.
Experience with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Dask.
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
Knowledge of conversational AI, agent-based systems, and chat interface development.
Proven track record in deploying and maintaining ML and AI solutions in a production setting.
Experience with version control (e.g., Git) and CI/CD tools tailored to ML workflows.
Experience with MLOps.
Experience with Databricks is a plus.
Qualifications
Minimum Qualifications
5+ years of experience in platform engineering with a focus on with a focus on data and ML systems.
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Additional Information for US based jobs:
Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.
Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.
All your information will be kept confidential according to EEO guidelines.
Our privacy policy can be found here:legal-privacy/
We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.
As a Sr. FPGA Verification Engineer at Reliable Robotics, you will be a part of the Embedded Systems team. The Embedded Systems team owns the complete lifecycle of the firmware and software platform that lies at the heart of the Reliable Robotics autonomy stack. We provide dependable computing, networking, signal acquisition, and motor control solutions that bring our aircraft to life. Your contributions will directly enable key equipment and aircraft product demonstrations, unlock the development of higher-level capabilities, and set the stage for product certification & delivery to market.
Responsibilities
In your role as Sr. FPGA Verification Engineer, you will own the FPGA integration and test environment for multiple airborne products including their test benches & simulation, continuous integration, timing analysis, elemental analysis, and build. You will develop DO-254 compliant processes for peer review and testing, perform qualification of relevant design and verification tools, and develop strategies for efficient verification of the product. Your contributions will directly enable the efficient realization of safe and dependable airborne electronic hardware at Reliable Robotics.
Basic Success Criteria
Bachelor's degree in electrical engineering, computer engineering, or equivalent experience
5+ years of full-cycle electronics hardware development experience in a professional environment
Professional knowledge of designing FPGA digital logic using industry-standard design, simulation, and synthesis tools
Strong organizational and problem-solving skills
Preferred Criteria
Advanced degree in electrical engineering, computer engineering, or equivalent
Experience with safety-critical FPGA verification (DO-254 level A/B or equivalent)
Comfortable with a fast-paced, agile/iterative development life cycle
Pragmatic, results-oriented work style
FPGA engineers at Reliable Robotics have a unique opportunity to work at the heart of a vertically integrated technology stack that goes all the way up to aircraft level, with a direct impact on the aircraft's capabilities and requirements. They execute a focused mission to establish the foundation of Reliable's technology roadmap, which does not suffer from dithering business or customer objectives. Come lend us your experience, motivation, skills, and enthusiasm - we simply can't wait to see what you will do here.
The position will be located at our facility in Mountain View, California. Must be willing to travel 10% of the time.
The estimated salary range for this position is $215,000 to $300,00/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity.
In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment.
This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.
All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.
At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to
Compensation Range: $215K - $300K
Apply for this JobWe're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.
As a Systems Safety Engineer at Reliable Robotics, you will be a part of the Systems & Safety team and will report to the Systems & Safety Manager. The Systems & Safety Team is responsible for architecting systems which support novel safety-critical functions, establishing development methodologies for new technologies, and comply with the federal regulations.
As part of an experienced multi-disciplinary team, you will contribute to expanding the aircraft's operational and functional capabilities. Your professional experience in aircraft and system safety will further strengthen the team's ability to meet rigorous expectations of stakeholders and certification authorities. You will collaborate with members from other groups within Reliable Robotics to ensure the safety of new and novel systems necessary for unmanned aircraft operations.
Responsibilities
In your role as a Systems Safety Engineer you will contribute to the development and architectural design supporting the delivery of prototypes and certifiable safety-critical flight systems in a dynamic start-up work environment.
You will have these responsibilities:
Apply systems safety methodologies as defined by industry standards
Develop new processes / methodologies used to certify autonomous / remote operations
Perform safety activities in coordination with design, development and verification of aviation systems including: Generate safety artifacts such as FHAs & Safety Assessments for aircraft, systems and equipment. Generate reliability or testability assessments to support safety activities. Validate safety requirements in collaboration with systems teams. Ensure consistency between the safety activities and development activities.
Support flight operations with safety of flight assessments for experimental operations
You'll also have the opportunity to interact with other domains within Reliable Robotics and become involved in a broad task spectrum not limited to typical system safety engineering activities.
Basic Success Criteria
Bachelor's Degree of Science or Engineering in Mechanical, Electrical, Aerospace, or related discipline
Broad experience from 10+ years of safety engineering on various systems, including complex safety-critical aerospace systems
Demonstrated self starter with the ability to solve problems from first principles
Ability to work well independently and cross-functionally across multiple organizations
Preferred Criteria
Advanced Degree of Science or Engineering in Mechanical, Electrical, Aerospace, or related discipline
Creative problem solver that can bring multiple disciplines together with the ability to assess risk and make design and development decisions without all available data
Experience certifying flight critical systems, hardware, and software via ARP4754A, ARP4761
Demonstrated ability ability to obtain regulatory acceptance of safety documents
This role is critical to us at Reliable Robotics, because it works to channel the ingenuity of the development engineers, hardware and software, towards a successful, concise and conclusive, certification package for an aircraft that flies itself.
This role can be remote, or located at our facility in Mountain View, California.
Must be willing to travel up to 10% of the time.
This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.
All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.
At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to
Compensation Range: $190K - $300K
Apply for this JobWe're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.
As a Radar Systems Engineer, you will be a part of our Radar Engineering team. The Radar Engineering team is comprised of a small cross functional team of motivated and experienced engineers; we're responsible for designing, building, and testing cutting edge phased array radar systems from concept to certified product. We enjoy a culture of sharing information and collaboration. Phased array radar systems have historically been reserved for specialized applications, but we're making this technology affordable to enable Detect and Avoid for widespread commercial applications. This role will focus on new advanced operational modes. The passion for revolutionary technology to make aviation safer motivates us to come in every day.
Responsibilities
In your role as a Radar Systems Engineer, you will be responsible for analyzing phased array radar systems and developing radar processing algorithms to enable short, long range object tracking, and radar image generation. You will be involved in all phases of development from conception to production, designing your algorithms in Matlab, Python, and implementation in C++ on the target hardware. You will drive the system-level requirements of the phased array radar system, and drive trade studies collaborating with the cross functional teams. You will support the integration of the radar on the aircraft and support data collection and analysis during flight testing. You will be the owner of real-time processing of radar algorithms on an FPGA, DSP-based platform.
Basic Success Criteria
Electrical Engineering fundamentals, typically gained through a Bachelor's Degree of Science or Engineering in Mechanical, Electrical, Aerospace, or a related discipline
8+ years of professional hands-on experience with Radar algorithms, radar system design, radar signal processing, integration, and test of a radar system
Ability to use C++, Matlab and Python (Python preferred)
Ability to troubleshoot, find root cause, and resolve issues
Pulsed and FMCW processing algorithm development
Experience in airborne radar testing and development
Preferred Criteria
Advanced Degree of Science or Electrical Engineering
Experience developing system architectures and managing requirements for certification of Avionics
Creative problem solver that can bring multiple disciplines together, with the ability to assess risk and make design and development decisions without all available data
Experience integrating and troubleshooting various electronic sensors and components
Weather radar experience, airborne or ground-based
Real beam radar imaging, and or SAR processing
This role can be remote, or located at our facility in Mountain View, California.
Must be willing to travel 30% of the time.
The estimated salary range for this position is $180,000 to $260,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity.
In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment.
This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.
All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.
At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to
Compensation Range: $180K - $260K
Apply for this JobWe're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.
As a System Integration Engineer at Reliable Robotics, you will work on a team with mechanical, electrical, and software engineers, reporting to the system integration engineering manager. This is a small team of highly motivated people designing, testing, and flying advanced automated systems. We enjoy combining mechanical and electrical hardware and getting it onto an aircraft safely and quickly.
Responsibilities
In your role as a system integration engineer, you will get to own vehicle level projects through the planning, design, and testing phases of development. You will own a large breadth of projects from primary flight control hardware, data acquisition hardware, hardware in the loop testing, ground station development, and integration with the software and human machine interface teams. You will be responsible for guiding the schedule and sequencing of large integration projects with significant ownership of which aircraft functions are the highest priority to be integrated and tested on vehicle.
Basic Success Criteria
Bachelor's degree in science or engineering or equivalent industry experience
8+ Years of industry experience designing, integrating, and testing electromechanical systems
Solid understanding of engineering fundamentals
Experience using system design fundamentals
Experience reading electrical wiring schematics
Experience testing systems for proper performance
Experience writing and running code
Excellent project management skills
Preferred Criteria
Experience designing a system architecture and weighing design options to accomplish specific system requirements
Experience performing vehicle safety assessments, risk assessments, and contingency management
Ability to design, build, and operate test stands and equipment
Excellent measurement, technical writing, and data analysis skills
Eagerness to both teach and learn
Ability to work both independently and as a leader of a high performing team
The position will be located at our facility in Mountain View, California.
Must be willing to travel up to 10% of the time.
The estimated salary range for this position is $162,000 to $220,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity.
In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment.
This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.
All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.
At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to
Compensation Range: $162K - $220K
Apply for this JobBuild a Career That Matters with One of the World's Most Respected Employers!
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This opportunity is in Norwood, NC, nestled by Lake Tillery in the North Carolina Piedmont region between the Carolina coast and the Blue Ridge Mountains. Norwood is conveniently located within an hour of major cities like Charlotte, Concord, and more! We are proud of our history of building aircraft tires from start to finish - serving the U.S. Military, general aviation, and commercial airline customers in the U.S. and globally.
THE OPPORTUNITY
This role encompasses all aspects of project management, technical specification, design, analysis, installation management, equipment start-up and manufacturing. Automation/Electrical engineers support the manufacturing processes and equipment in one or several manufacturing facilities by designing, specifying, purchasing and constructing Automated/Electrical systems (hardware and software) and components. This engineer is expected to spend a fair amount of time in hands-on technical activities as well. Interaction with all levels of employees will be expected. This is sometimes accomplished through the management of contract engineering resources.
WHAT YOU WILL DO
This position includes roles as the Lead Electrical Engineer and project manager for our Aviation Tire manufacturing facility, supporting efforts to design, build, install, maintain, and modify our manufacturing equipment.
- Create initial designs, assist to define functional specifications for new machines and systems, develop estimates and budget, assure procurement of parts and systems, monitors electrical equipment fabrication, conduct vendor/contractor management, deliver complete and current technical documentation, and oversee installation and startup of projects that range from simple modifications of existing machinery to large-scale expansion projects.
- Have hands-on involvement with equipment and processes by being available to the operators and maintenance personnel and gaining detailed knowledge of the process.
- Provide technical expertise in the maintenance, modification and installation of equipment and machinery in the tire manufacturing process, including technical assistance for problem solving analysis.
- Participate in all facets of project management including: Economic justification, design, vendors/procurement, installation, start-up, qualification, machine acceptance, training for operations & maintenance, project reviews and technical documentation.
- Provide liaison between facility engineering, central quality, methods and purchasing teams, and equipment suppliers to assure good mutual system requirement understanding.
WHAT YOU WILL BRING
Bachelor's degree in electrical engineering along with demonstrated successful project management experience. Associates degree with extensive experience may be considered.
Proven electrical design skills, and the ability to deal with electrical, electronic and mechanical tire manufacturing equipment.
Minimum of 5 years industrial electrical design experience, preferably in manufacturing/industrial equipment.
Excellent interpersonal and leadership skills. Demonstrated ability to set and achieve goals with minimum supervision. The applicant must be able to develop positive relationships with customers.
Well organized and able to manage multiple tasks simultaneously. Demonstrated solid teamwork, communication, and planning skills required. Previous project management experience or team leadership experience is preferred.
Strong communication skills with the ability to influence and resolve issues. Both written and verbal communication skills are essential. Ability to communicate with French counterparts on technical issues is preferred.
Maintain a high degree of confidentiality in dealing with outside contractors and equipment suppliers.
Experience with AutoCAD electrical latest version and PLC programming (i.e. Allen-Bradley) is required. Robot (Yaskawa), vision system (Keyence or Cognex), and Measurement (laser profilometer) experience is a plus.
Proficient in Microsoft Office applications (Excel, Word, Project, and PowerPoint).
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Ready to Shape the Future of Innovation?
Michelin is building a world-leading manufacturer of life-changing composites and experiences. Pioneering engineered materials for more than 130 years, Michelin is uniquely positioned to make decisive contributions to human progress and a more sustainable world. Drawing on its deep know-how in polymer composite materials, Michelin is constantly innovating to manufacture high-quality tires and components for critical applications in demanding fields as varied as mobility, construction, aeronautics, low-carbon energies and healthcare.
The care placed in its products and deep customer knowledge inspire Michelin to offer the finest experiences. This spans from providing data- and AI-based connected solutions for professional fleets to recommending outstanding restaurants and hotels curated by the MICHELIN Guide.
Why Michelin?
- Career Growth: Personalized development plans, mentorship, and cross-functional opportunities. Unique career paths and opportunities for advancement.
- Inclusive Culture: Thrive in a diverse, supportive environment where your competencies, contributions and behaviors are recognized. Option to join one of our Business Resource Groups and Inclusion Councils.
- Innovation-Driven: Work on projects that matter-from sustainable materials to digital transformation.
- Community Impact: Be part of a company that does what's right. We use sustainable business practices while balancing the needs of our customers and communities.
Michelin provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors. Consistent with these obligations, Michelin also provides reasonable accommodations to employees and applicants with disabilities and for sincerely held religious beliefs. If you need accommodation for any part of the employment process because of a disability, please contact us at .
This position is not available for immigration sponsorship.
We build the future with people like you. Begin your career with Michelin today!
