Engineering Structures Jobs in Cupertino, CA
454 positions found — Page 6
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.
The Avionics Hardware team is a small group of highly motivated engineers who develop the core compute, actuation, sensing, and power electronics products at the heart of our automation system. We enjoy cradle-to-grave hardware ownership and hands-on test, iteration, and deployment of our designs. As an Avionics Hardware Engineer, you will drive development of electrical components and sub-systems across our airborne and test platforms from the circuit-board level up through integrated systems and everything in between.
Responsibilities
In your role as Avionics Hardware Engineer, you will design, analyze, document, test, and troubleshoot electronic assemblies at the circuit board through integrated electro-mechanical level. You will collaborate with a cross-functional team of electrical, mechanical, software, manufacturing and test engineers as the expert on your hardware. You will drive improvements to the hardware through benchtop, environmental, and on-aircraft testing, and perform root-cause investigations to characterize, document, and rectify anomalous behavior in a safety-critical environment.
Basic Success Criteria
Bachelor's degree in electrical engineering, computer engineering, or equivalent experience
Demonstrated ability to complete and ship projects and deliverables
Professional experience with ECAD tools such as Altium
Ability to work within a team, including strong written and verbal communication skills
Ability to methodically diagnose, document, and solve electronic hardware problems
Preferred Criteria
Professional experience with the full electronics product life-cycle, from conceptual design through production
Direct hands-on experience with analog, digital, and mixed-signal circuit design, analysis, test, and debug
Experience designing electronics to meet rigorous environmental standards (aerospace, military, automotive, or harsh industrial)
Proficiency with Python and/or MATLAB for analysis, data review, and test setup scripting
We're a growing, motivated, fast-paced team of avionics professionals. We move quickly, and everyone wears multiple hats. We're looking for someone who is diligent and detail-oriented who can join our team and make an immediate impact.
This role is on-site in Mountain View, CA. Must be willing to travel 10% of the time.
The estimated salary range for this position is $110,000 to $168,000/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: $110K - $168K
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 Guidance, Navigation, and Control (GNC) Modeling and Simulation Engineer, you will develop the physics-based models that enable rapid iteration and certification-grade validation of GNC software. You will perform simulation analysis and assess correlation with real-world data to demonstrate that the models are representative of the actual system.
Responsibilities
Develop physics-based models representative of aircraft dynamics (aerodynamics, ground reactions, actuator models, etc.)
Identify, request, and analyze flight tests necessary to inform modeling
Conduct closed-loop testing of flight control systems with simulated aircraft dynamics
Develop tools for visualizing and analyzing simulation and flight data
Perform validation of simulation models against flight test data
Basic Success Criteria
BS in aerospace engineering, robotics, or related field
5+ years experience with aerodynamics, flight dynamics simulation, and system identification
Experience with Python, C++, MATLAB/Simulink, and Linux-based development environments and scripting
Experience with developing validated physics-based models as well as integration and testing of these models
Excellent written and verbal communication skills
Preferred Criteria
MS or PhD in aerospace engineering, robotics, or related field
Experience with high fidelity physics-based aircraft or other complex simulation systems
Current pilot, instrument or commercial ratings
GNC Modeling and Simulation is a key company capability that enables rapid design iteration and scalable design validation covering the massive combinatorial space of flight envelope and atmospheric conditions. These tools are what allow us to fly with the confidence of more than 1000:1 simulation hours to flight hours and draw statistically significant conclusions on the system's safety and performance.
Employees working from our headquarters in Mountain View, CA may expect very little travel.
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: $185K - $245K
Apply for this JobMatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.
We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!
Job Title: Embedded AI Engineer
Location: Sunnyvale, CA
Employment Type: 6+ Month Extendable Contract
Pay Range: USD 70-80/HR
- Role Overview/Job Responsibilities
About this opportunity – Embedded AI Engineer We are seeking an experienced Embedded AI Engineer to join our team in validating PyTorch-based Large Language Models (LLMs) using CUDA SDK APIs. The successful candidate will be responsible for debugging, extending, and replacing the underlying CUDA code to ensure seamless functionality on our company-specific AI processors.
Key Responsibilities:
● Validate PyTorch-based LLMs on company-specific AI processors using CUDA SDK APIs
● Debug and troubleshoot issues related to CUDA code integration with PyTorch models
● Extend and modify CUDA code to optimize performance on company-specific AI processors
● Replace existing CUDA code with custom implementations to meet specific requirements
● Collaborate with cross-functional teams to ensure successful integration of LLMs with company-specific AI processors
● Develop and maintain validation frameworks and tools for PyTorch-based LLMs
● Analyze and optimize the performance of LLMs on company-specific AI processors Requirements
● Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related fields
● Strong experience with CUDA programming and PyTorch framework
● In-depth knowledge of deep learning models, particularly Large Language Models (LLMs)
● Proficiency in C++ and Python programming languages
● Experience with debugging and troubleshooting complex software issues
● Excellent problem-solving skills and attention to detail
● Strong communication and collaboration skills
Nice to Have:
● Experience with AI processor architecture and design
● Knowledge of other deep learning frameworks, such as TensorFlow
MatchPoint Solutions 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, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
We're working with a fast growing AI startup in SF that's hiring a Forward Deployed Engineer to help identify and build high-impact solutions across the business.
This isn't a typical engineering role.
You'll be embedded directly with teams across sales, operations, and customer experience, spotting inefficiencies and quickly building AI tools, automations, and systems to solve them.
The focus is on impact, not perfection.
What makes it interesting is the environment:
• High ownership and real business impact
• Working across multiple functions, not just engineering
• Rapid build and ship cycles where ideas go live in days
• Constant exposure to the latest AI tools and capabilities
• 14 hour days in a high-intensity environment where you move fast and see results immediately
They're looking for people who:
• Are strong technical generalists (Python, TypeScript, SQL)
• Think in terms of business outcomes, not just code
• Are comfortable building quickly and iterating in real time
• Can communicate clearly with non-technical stakeholders
• Want to work at the intersection of AI and real-world operations
SF based, in office
$140K to $200K + bonus + equity
If this sounds interesting, feel free to message me or get in touch.
System Integration Test Lead
Summary:
We are seeking a Technical Program Manager (TPM) with system-level experience to tackle new challenges and leverage your expertise in this dynamic role. This company offers a fast-faced, innovate culture with abundant information, requiring you to quickly process and develop clear plans to resolve issue efficiently.
Be part of a leading consumer technology company and make a significant impact by leading programs and driving manufacturing test readiness!
Responsibilities :
- Oversee the preparation and execution of test readiness activities, including managing the transition from Surface-Mount Technology (SMT) to final assembly across all phases of product New Product Introduction (NPI) development.
- Plan, execute, and complete dry runs to ensure manufacturing test readiness for NPI builds, identifying potential issues before full production.
- Quickly identify, troubleshoot, and resolve any test-related issues that arise during the build process, ensuring minimal disruption and maintaining timelines
- Create and implement strategic plans for addressing problems, ensuring timely and effective solutions.
- Work closely with engineering, manufacturing, and other cross-functional teams to ensure seamless communication and alignment on project goals and deliverables
- Regularly track and report on the status of test progress, readiness, and outcomes, ensuring transparency and accountability throughout the project lifecycle
- Continuously refine and improve test processes and methodologies to enhance quality, efficiency, and product maturity, ensuring compliance with industry standards and best practices
- Ensure product test quality standard and manufacturing criteria are met
Requirements
- Proven experience in program management or test readiness at the system level, with a strong background in hardware and software integration
- Understanding of HW/SW architecture and interoperability of a complex systems
- Strong analytical and problem-solving skills, with the ability to thrive in a fast-paced environment
- Excellent communication and organizational skills, with the ability to articulate complex issues clearly
- Knowledge and experience in New Product Introduction (NPI) for consumer products, enabling efficient issue resolution and build execution
- Experience in consumer product manufacturing tests and hardware/software integration is a plus
- Engineering degree in ME, CE, EE or Physical Sciences prefer
Location: Cupertino, CA (Hybrid, Tuesdays - Thursdays Onsite)
Duration: 12-36+ Months
Pate Rate Range: $70/hr - $80/hr (DOE)
About the Company
Atomus’ mission is to provide world-class cybersecurity for the world’s most critical organizations. We build security compliance software delivered as managed services sold directly, with relevant professional services and support. Our commercial customers include hypersonic aircraft companies, satellite and space mission systems companies, AI and software companies, among many others serving primarily the aerospace and defense industry. At Atomus we are hardworking, we move fast, and we put our customers first.
About the Role
As a Business Operations Intern, you’ll play a key role in keeping our fast-moving team running smoothly—from coordinating product shipments and managing our Shopify store to planning team events and supporting the cofounders on strategic projects. We’re looking for someone who moves quickly, leans on AI tools to work smarter, and has a sharp eye for design and detail. This is a hands-on role where you’ll gain real experience across every facet of a growing cybersecurity startup.
Responsibilities
- Coordinate and manage physical shipments of security products to customers, including tracking orders, preparing packages, and communicating delivery timelines
- Help manage and maintain the company’s Shopify store, including inventory tracking, product listings, and order fulfillment
- Plan and coordinate team events and travel logistics
- Support the cofounders on a variety of strategic and operational projects as priorities evolve
- Manage office supply and snack ordering to keep the team well-stocked and happy
- Leverage AI tools and agents (e.g., Claude, ChatGPT, automation platforms) to streamline workflows and increase efficiency across tasks
Qualifications
- Currently enrolled in a Bachelor’s or Associate’s degree program at a Bay Area college or university, ideally pursuing a technical degree (e.g., Computer Science, Engineering, Information Systems, Business Analytics)
- Demonstrated proficiency with AI tools and a strong preference for using AI agents (e.g., Claude, Lovable) to get work done faster
- A good eye for design—whether it’s formatting a document, laying out a slide deck, or organizing a storefront
- Strong organizational skills and attention to detail
- Excellent written and verbal communication skills
- Comfortable managing logistics and coordinating shipments or deliveries
- Thrives in a fast-paced environment and can juggle multiple priorities with minimal direction
- Reliable, self-motivated, and able to work independently
- Ability to work in-office in downtown San Francisco 10–20 hours per week
Preferred Skills
- Interest in cybersecurity, technology, or the startup ecosystem
- Experience with Lovable or similar AI-powered app building tools
- Experience with Shopify or other e-commerce platforms
- Experience coordinating events, travel, or conference logistics
- Previous experience with shipping, logistics, or inventory management
- Familiarity with project management tools (e.g., Asana, Trello, Notion)
- Familiarity with design tools (e.g., Canva, Figma) for light creative tasks
- Previous internship or work experience in an office or operations role
Pay range and compensation package
Competitive hourly pay. Flexible scheduling around your class schedule (10–20 hours/week). Mentorship and hands-on exposure to multiple areas of a growing cybersecurity company. A collaborative, supportive team culture in a downtown San Francisco office.
Job Title: Test Lead
Location: Mountain View, CA
Job Type: Full-Time
Job Description:
Qualification: B. Tech/MTech (Electronics & Communication Engineering)
1) Min 10 yrs experience in Automotive test development and testing with min 2 yrs in the infotainment and/or telematics domain
2) Test automation and testing of IVI interfaces at least 2 of the following: Serialize-based high-resolution Displays, Ethernet, Tuner, Wi-Fi, BT, V2X, LTE, GNSS, and Audio.
3) DVP&R preparation, DV testing
Skills:
1) Min 10 yrs experience in Automotive test development and testing with min 2 yrs in the infotainment and/or telematics domain
2) Test automation and testing of IVI interfaces of at least 2 of the following: serialize-based high resolution Displays, Ethernet, Tuner, Wi-Fi, BT, V2X, LTE, GNSS, and audio
3) DVP&R preparation, DV testing
We are seeking a Senior Robotic Simulation Engineer with deep, hands-on expertise in building high-fidelity simulation environments and synthetic data pipelines using NVIDIA Isaac Sim or similar.
In this role, you will directly contribute to the development of scalable, realistic virtual worlds that power the training and validation of robotic foundation models for perception, planning, and manipulation.
At GM’s manufacturing technology development team, you’ll work closely with robotics and AI teams within the Manufacturing Technology Development (MTD) team to create simulation scenes that replicate complex manufacturing environments, generate diverse synthetic datasets, and build robust data workflows that accelerate model development and deployment.
Key Responsibilities • Build and customize simulation scenes in Isaac Sim that accurately reflect real-world robotic tasks and factory layouts • Develop synthetic data generation pipelines, including randomized object placement, sensor simulation, and multi-modal annotations (RGB, depth, segmentation, point clouds) • Implement and maintain data processing workflows, ensuring data quality, traceability, and compatibility with ML training pipelines • Optimize simulation performance and realism, tuning physics parameters, asset fidelity, and rendering configurations for scalable experimentation • Collaborate with robotics engineers and ML scientists to align simulation outputs with model requirements and support sim2real transfer • Conduct hands-on testing and debugging, iterating on simulation setups and synthetic data strategies to improve model robustness • Document workflows and contribute to best practices, enabling reproducibility and knowledge sharing across teams Required Qualifications • MSc or PhD in Robotics, Computer Graphics, Computer Vision, or related field • 3+ years of hands-on experience in robotics simulation, synthetic data generation, or virtual environment development • Proficiency with Isaac Sim, Omniverse, or similar simulation platforms • Strong programming skills in Python and C++, with experience in simulation APIs and data annotation tools • Familiarity with 3D vision, sensor modeling, and domain randomization techniques • Experience integrating simulation outputs into ML pipelines for training and evaluation Preferred Qualifications • Experience with robotics frameworks (e.g., ROS/ROS2, MoveIt, Nav2) • Experience with robotics simulation platforms (e.g., IsaacSim, MoJoCo, Gazebo) or Game engine (e.g., Unreal, Unity) • Background in industrial automation, autonomous vehicles, or robotic manipulation • Publications or contributions in simulation, synthetic data, or robotics venues (e.g.
ICRA, RSS, CVPR) • Familiarity with CI/CD pipelines and modern software development practices such as Bash, Github, Bazel, Docker
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.
With more than 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.
Note to applicants:
By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.
Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.
We offer 2 internship start dates:
- May 18, 2026 - August 7, 2026
- June 15, 2026 - September 4, 2026
What you'll do:
- Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
- Collect, analyze, and synthesize findings from data and build intelligent data-driven models
- Write clean, efficient, and sustainable code
- Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
- Scope and independently solve moderately complex problems
- Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed.
What we're looking for:
- Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
- Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
- Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
- Experience in research and in solving analytical problems
- Strong communicator and team player with the ability to find solutions for open-ended problems.
- Preferred Qualifications:
- Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
- Interest in research and in applying ML to impactful real-world problems on the Pinterest product
Why Intern at Pinterest?
- Meaningful Work: Contribute to projects that impact millions of users worldwide.
- Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
- Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection
- This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
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. 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
The salary for this position is $12,100 monthly.
#LI-HYBRID
#LI-EB1
Our 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.
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. Flight Test Instrumentation Engineer at Reliable Robotics, you will be a part of the Flight Test and Integration team. The Flight Test and Integration team is responsible for multiple installation and test efforts at Reliable Robotics. The team regularly ensures the proper function of mechanical, electrical, and flight control systems onboard the aircraft. In addition, this team has ownership over all ground and flight test operations within the organization. The team is composed of individuals familiar with experience developing experimental and certification products.
Responsibilities
In your role as Sr. Flight Test Instrumentation Engineer, you will assist in the design and installation of modified flight control systems, throughout the development of a remotely operated autoflight system. You will ensure the proper build-up of functions and capabilities, beginning in the lab and ending on the vehicle. You will be expected to verify the end-to-end functionality of the system and ensure the ability to assess all desired test requirements. This will require engaging with many teams throughout the organization and having a firm understanding of the vehicle's capabilities. As part of the flight test campaigns, you'll act as the responsible engineer for the vehicle and often as test director.
Basic Success Criteria
Bachelor's Degree of Science or Engineering in Mechanical, Electrical, Aerospace, or related discipline
7+ years of integration and test experience in a professional environment
Demonstrated ability to work with hardware
Experience leading test campaigns on the ground or in flight
Demonstrated ability to lead safety critical tests and operations
Preferred Criteria
Experience assembling components in a production environment
Experience assembling prototype hardware
Experience manufacturing mechanical and electrical (harnessing) sub-assemblies
Experience with computer science languages (Python or similar)
Flight Test Integration Engineers at Reliable Robotics will have an opportunity to deliver a first-of-its-kind gate-to-gate autoflight system for commercial use. Let's make it happen!
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: $133K - $222K
Apply for this Job