Engineering Journal Impact Factor Jobs in Stanford, CA

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 Senior Software Engineer - Engineering Productivity at Reliable Robotics, you will design, and implement software to support the development, analysis, and certification of automated aircraft systems. You will work closely with product owners and end users to develop solutions that enable and optimize engineering development workflows. The software you produce will be critical to the development and certification of the first fully autonomous aircraft.

Responsibilities

In your role as an internal tool developer, you will develop applications, infrastructure, and tools used by engineering to capture product requirements and interface definitions, model the product architecture and design, and reduce and analyze flight and lab test data. You will supercharge the engineering organization's efficiency and effectiveness by streamlining tools and processes. You will work with other teams and stakeholders to establish technical and UX design requirements for these projects and own the "plan, code, build, test, release, deploy" lifecycle of these applications and services.

Basic Success Criteria

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent experience

• 5+ years experience with professional full stack web development in a team setting

• Professional experience with core browser technologies (JavaScript, HTML, CSS) and TypeScript

• Experience structuring dynamic, model-driven data and determining data relationships

• Experience working with SQL, NoSQL, and time series databases

• Experience designing software architecture for both new and existing projects

Preferred Criteria

• Experience using Python and libraries such as pandas, matplotlib, and django

• Experience integrating with cloud platforms and infrastructure tools such as AWS, Terraform, and Docker

• Experience designing and implementing ingestion pipelines for high-throughput streams of real-time telemetry

• Experience integrating business intelligence and data visualization tools such as Tableau, Power BI, Superset, Metabase

• Experience developing React components and reusable libraries/tools for developers

At Reliable Robotics, we believe that our internal tools are key ingredients to our success. Aircraft design, integration, and certification are highly complex processes requiring diligent management of data and their relationships. Traditionally a paper process, our tools enable our system designers to move faster, conduct more thorough and comprehensive analyses, and design safer aircraft systems. Come be a part of taking our products to the next level.

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

Local to Bay area

1 day onsite @ Oakland office.

Role must interface with both business and engineers; expected to work directly with engineering teams.

Focus is on the enterprise data platform and data engineering; not an analytics/visualization role.

Core technical expectations

Strong data ecosystem background: experience leading data products or data warehousing initiatives.

Solid understanding of schemas, databases, and ETL (Extract, Transform, Load) processes; no hands-on coding expected but must be able to engage deeply with engineers and “know what they are talking about.”

Primary data warehouse platform: Snowflake.

Broader big data background acceptable if not purely Snowflake (e.g., Databricks, BigQuery, Redshift).

Current ETL tool: Informatica; hands-on Informatica expertise is not required.

Analytics/visualization not in scope; Power BI knowledge is a nice-to-have, not mandatory.

Role and scope

Titles vary across industry: product owner (PO), project manager, scrum master, TPM; at PG&E, similar roles may be labeled “product managers.”

Not seeking a pure scrum master or a typical external-facing PO who only writes requirements.

Role must interface with both business and engineers; expected to work directly with engineering teams.

Focus is on the enterprise data platform and data engineering; not an analytics/visualization role.

Core technical expectations

Strong data ecosystem background: experience leading data products or data warehousing initiatives.

Solid understanding of schemas, databases, and ETL (Extract, Transform, Load) processes; no hands-on coding expected but must be able to engage deeply with engineers and “know what they are talking about.”

Primary data warehouse platform: Snowflake.

Broader big data background acceptable if not purely Snowflake (e.g., Databricks, BigQuery, Redshift).

Current ETL tool: Informatica; hands-on Informatica expertise is not required.

Analytics/visualization not in scope; Power BI knowledge is a nice-to-have, not mandatory.

Job Description:

Mandatory to have working experience as SRE manager especially in Retail domain application support ( NOT CLOUD /DevOps)

Must have working knowledge on SRE principles such as Logs, metrics, availability metrics, uptime, ticket tracking, e-com services, ITIL framework specifically on Alerts, Incident, change management, CAB, Production deployments, Risk and mitigation plan, SLA, SLI, SLO

Hands on experience in Monitoring, Logging, Alerting, Dashboarding, and report generation in any observability tools Prefer DataDog or other tools such as Splunk/Dynatrace/ELK/Grafana). This engagement is a customer using Dynatrace,Splunk, PagerDuty hence it is good to have this expertise

Mandatory to have work experience in leading Level 2/Level 3 application support team based out of IND who provide 24x7 coverage.

Should know how to gather & communicate SRE requirement from customers and define SRE roadmap.

Working experience on how to gather requirements on health of applications, services to monitor, setting service levels.

Must have good knowledge on eCommerce platforms in microservice architecture, Sterling OMS , Retail Applications like XStore.

Should be able to lead P1 calls, brief about the P1 to customer, proactive in gathering leads/ customers into the P1 calls till RCA, PIR etc.

Should have knowledge on building process , framework by following ITSM principles, SOP, runbooks, handling any ITSM platforms (JIRA/ServiceNow/BMC Remedy)

Must know how to work with the Dev team, cross functional teams.

Should be able to generate WSR/MSR by extracting the tickets from ITSM platforms, present to customers and client leaders.

Manage overall SRE delivery, customer focus mindset , closely work with customer leaderships.

Preferred:

Be a client face at customer site collaborating with client leadership.

Ability to clearly communicate and understand a technical idea/concept.

Ability to work in a professional environment while interacting with peers and stakeholders, collaborating with offshore teams.

Excellent written and verbal communications skills.

Motivated, goal driven, influential, innovative, curious, and open minded, fun to work with, collaborator.

Capability to work with people in different time zones.

Ability to operate in a fast-paced, evolving environment and appropriately prioritize tasks, and keep abreast of the latest technology.

Collaborate with cloud architecture, infrastructure team, project management team, and technology services, management team.

Create and maintain detailed documentation.

Mid-Level Technical Writer (Engineering SME)

Palo Alto, CA

Hybrid

Role Summary

The Mid-Level Technical Writer will support the development of validation test reports, test plans, procedures, and related documentation in close coordination with Auto OEM engineering teams and the Senior Lead. The role requires technical fluency and the ability to transform raw data and engineering input into clear, organized, and accurate documentation.

Key Responsibilities

• Prepare and update validation test reports based on engineering inputs and test data
• Support creation and maintenance of test plans, procedures, and setup documentation
• Organize complex technical information into structured report formats
• Work with engineering teams to ensure documentation accuracy and completeness
• Support revisions, document updates, and alignment to agreed templates and standards
• Assist in creation of diagrams, visuals, and setup descriptions as needed
• Track and manage assigned work using Auto OEM tools and workflows

Required Qualifications

• Bachelor's degree in engineering or a related technical field
• Experience in technical writing for engineering, manufacturing, testing, or product development environments
• Ability to understand engineering concepts and translate them into well-structured technical documents
• Experience supporting documentation such as test reports, test plans, procedures, work instructions, or validation records
• Strong written communication and organizational skills
• Must be able to work in a hybrid onsite U.S. model

Preferred Qualifications

• Prior experience in automotive or EV programs
• Exposure to validation, systems engineering, hardware testing, or product verification documentation
• Experience supporting technical diagrams or setup illustrations

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.

Within our Ads Performance and Ads Delivery teams, we connect the dots between what Pinners aspire to do and the products our advertising partners offer-building personalized, discovery-driven experiences that help people create a life they love. Pinterest is just over 4,000 employees globally, which means our teams stay small, high-ownership, and fast-moving, with hands-on access to an exceptional vault of data and the chance to build and evolve large-scale recommendation and ranking systems at real-world scale.

We're hiring multipleStaff Machine Learning Engineersacross ourAds Machine Learningorg withinMonetization Engineering. In this role, you'll lead innovation across core applied ML and marketplace technologies that power our ads ecosystem-advancing our ads ranking stack, building the next generation of scalable ads retrieval models, and improving shopping discovery for millions of users. You'll also help shape the evolution of the Pinterest marketplace by designing systems and experiments that improve the ads delivery funnel, inform the utility function, and influence auction mechanisms and ad allocation-using deep analysis of marketplace dynamics to unlock new insights. Overall, this is a high-impact opportunity to define what great looks like for Pinterest Shopping Ads, directly improving both user experience and advertiser outcomes in a uniquely discovery-first marketplace.

What you'll do:

• 
  
• Design features and build large-scale machine learning models to improve user ads action prediction with low latency
  
• Drive innovation in personalized Shopping Ads recommendations through advanced modeling
  
• Develop new methods for inferring user interests from online and offline activity
  
• Mine text, visual, user signals to better understand user intention
  
• Leverage multimodal signals (text, visual, user) to better understand user intent
  
• Collaborate with product and sales teams to design and implement new ad products
  
• Partner cross-functionally with product, sales, data science, and engineering teams to design and improve user journey and optimize ads performance across all stages of retrieval and ranking
  
• Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
  
• Define and implement experiments to understand long term Marketplace effects
  
• Develop strategies to balance long and short term business objectives.
  
• Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.
  

What we're looking for:

• 
  
• Degree in Computer Science, Machine Learning, Statistics or related field
  
• Experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing
  
• Experience leading projects and mentoring team members
  
• Strong mathematical skills with knowledge of statistical methods
  
• Excellent written and verbal communication skills and strong cross-functional collaboration
  
• Background in computational advertising is a plus, but not required
  

This position is not eligible for relocation assistance.

#LI-HYBRID

#LI-SM4

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.

Our Commitment to Inclusion:

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:

Job Title: Mechanical Engineer – Product Validation / DVP

Location: Sunnyvale, CA

Role Overview

We are seeking an experienced Mechanical Engineer to lead the Design Verification Plan (DVP) and validation activities for complex product systems. The role involves managing and executing mechanical, environmental, and electrical validation testing while working closely with internal teams and external test houses.

The ideal candidate will have strong hands-on prototyping and fixture design experience and the ability to independently drive validation programs in a fast-paced engineering environment.

Key Responsibilities

• Lead the Design Verification Plan (DVP) for product validation and testing.
• Plan and execute structural testing including vibration, shock, and impact tests.
• Conduct environmental testing such as temperature, humidity, ingress protection, and solar load validation.
• Coordinate testing activities with external test labs and test houses.
• Design and build test fixtures, jigs, and setups for validation and reliability testing.
• Perform hands-on prototype builds and mechanical test setups.
• Analyze test results and perform root cause analysis for product failures.
• Ensure validation coverage across the entire product system including electrical and mechanical components.
• Collaborate with cross-functional teams to support product development and validation timelines.
• Work independently to drive testing programs in a fast-paced engineering environment.

Required Qualifications

• Bachelor’s degree in Mechanical Engineering or related field.
• 5+ years of experience in product validation, testing, or reliability engineering.
• Strong experience developing and managing Design Verification Plans (DVP).
• Hands-on experience with structural testing (vibration, shock, impact).
• Experience with environmental testing (temperature, humidity, ingress, solar load).
• Experience designing test fixtures and jigs for validation testing.
• Ability to perform root cause analysis for product failures.
• Strong understanding of mechanical systems and product-level validation.

Preferred Skills

• Experience working with external test houses and certification labs.
• Background in hardware product development environments.
• Ability to work independently and manage multiple validation tasks.

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 Design Engineer at Reliable Robotics you will be a part of the Embedded Systems team which owns the firmware and software at the heart of the Reliable Robotics autonomy stack. We are a creative and diligent team that provides dependable computing, networking, signal processing, and motor control solutions to bring our aircraft to life. Your contributions will directly enable development of our flight computer and air to air RADAR, unlocking higher-level capabilities, and setting the stage for product certification & delivery to market.

Responsibilities

In your role as an FPGA Design Engineer, you will work in a highly collaborative and cross-functional development environment including mutual peer review to maintain high product quality. This work will include FPGA requirements, design, and simulation as well as code synthesis, hardware integration, and test support. You will contribute to multiple FPGA projects in support of the long-term Reliable Robotics technology roadmap.

Basic Success Criteria

• Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent

• 8+ years of full-cycle electronics hardware development experience in a professional environment

• Professional experience designing FPGA digital logic using industry-standard design, simulation, and synthesis tools

Preferred Criteria

• Advanced degree in Electrical Engineering, Computer Engineering, or equivalent

• Proven track record of product ownership including development and field support

• Experience with safety-critical FPGA development (DO-254 level A/B or equivalent industry standard)

• Experience architecting, implementing, and verifying fixed point DSP algorithms

• Comfortable with a fast-paced, agile/iterative development life cycle

• Pragmatic, results-oriented work style

FPGA designers at Reliable Robotics have a unique opportunity to work within a vertically integrated technology stack that extends up to the 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. We are a fast-paced team that gets results. With your experience, motivation, skills, and enthusiasm, you'll help the team accomplish amazing things.

Employees working from our headquarters in Mountain View, CA may expect very little travel.

The estimated salary range for this position is $215,000 to $300,000/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: $215K - $300K

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

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 an FPGA Design Engineer at Reliable Robotics you will be a part of the Embedded Systems team which owns the firmware and software at the heart of the Reliable Robotics autonomy stack. We are a creative and diligent team that provides dependable computing, networking, signal processing, and motor control solutions to bring our aircraft to life. Your contributions will directly enable development of our flight computer and air to air RADAR, unlocking higher-level capabilities, and setting the stage for product certification & delivery to market.

Responsibilities

In your role as an FPGA Design Engineer, you will work in a highly collaborative and cross-functional development environment including mutual peer review to maintain high product quality. This work will include FPGA requirements, design, and simulation as well as code synthesis, hardware integration, and test support. You will contribute to multiple FPGA projects in support of the long-term Reliable Robotics technology roadmap.

Basic Success Criteria

• Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent

• 4+ years of full-cycle electronics hardware development experience in a professional environment

• Professional experience designing FPGA digital logic using industry-standard design, simulation, and synthesis tools

Preferred Criteria

• Advanced degree in Electrical Engineering, Computer Engineering, or equivalent

• Proven track record of product ownership including development and field support

• Experience with safety-critical FPGA development (DO-254 level A/B or equivalent industry standard)

• Experience architecting, implementing, and verifying fixed point DSP algorithms

• Comfortable with a fast-paced, agile/iterative development life cycle

• Pragmatic, results-oriented work style

FPGA designers at Reliable Robotics have a unique opportunity to work within a vertically integrated technology stack that extends up to the 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. We are a fast-paced team that gets results. With your experience, motivation, skills, and enthusiasm, you'll help the team accomplish amazing things.

Employees working from our headquarters in Mountain View, CA may expect very little travel.

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: $185K - $245K