Software Engineer, Autonomy Behavior Validation Job at General Motors (Sunnyvale)

Senior Software Engineer, Autonomy - Behavior, Planning & Controls

As a Senior Software Engineer, you will play a pivotal role in developing next-g...

Location

United States , Mountain View

Salary:

180000.00 - 198000.00 USD / Year

Cyngn

Expiration Date

Until further notice

Requirements

MS/PhD in Computer Science, Robotics, or a related technical field, or equivalent practical experience
Strong proficiency in C++ and Python with a deep understanding of software development best practices
Solid foundation in robotics principles, particularly motion planning and control systems
Strong background in vehicle dynamics and experience applying these principles to autonomous systems
Knowledge of nonlinear optimization and search-based planning techniques
Familiarity with ROS2 for designing, building, and operating robotic systems
Strong mathematical foundation, including geometry, linear algebra, and probability
Excellent problem-solving abilities with a proactive approach in a fast-paced, collaborative environment
Strong communication and cross-team collaboration skills

Job Responsibility

Design, implement, and optimize motion planning and control algorithms for autonomous vehicles
Develop and enhance software infrastructure for vehicle simulation, performance validation, and system diagnostics
Architect and refine path-planning and tracking control algorithms to improve autonomy performance
Collaborate with cross-functional teams to deploy and validate solutions in both simulated and real-world environments
Balance hands-on development, code reviews, and research to achieve product-driven milestones in a fast-paced startup environment
Integrate cutting-edge robotics research into our autonomous driving stack to enhance system capabilities

What we offer

Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)
Company 401(k)
Commuter Benefits
Flexible vacation policy
Sabbatical leave opportunity after 5 years with the company
Paid Parental Leave
Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages

Fulltime

Mission Autonomy- Decision Making and Behaviors Lead

Merlin is a venture backed aerospace startup building a non-human pilot to enabl...

Location

United States , Boston

Salary:

Not provided

Merlin Labs

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Aerospace Engineering, Robotics Engineering, or a related subject
Years of professional experience developing software for airborne autonomous systems
Subject matter expert in one or more of the following: Mission management frameworks such as behavior trees, hierarchical task networks, state machines, petri nets
Single- and multi-vehicle autonomy, resource allocation, and decision making algorithms
Airborne contingency and emergency management
Machine learning for complex decision making and behavior generation
Years of experience providing tech leadership to a team of at least 4 engineers at different levels
Proficiency in modern software development workflows and practices, including version control, pipelines, and unit testing, and peer review
Experience with overall product development cycle, including design, testing, and troubleshooting at the system level as well as at the software component level
Proficiency writing both Python and C++

Job Responsibility

Drive the technical direction and deliver autonomous decision making, behavior execution, and motion planning capabilities for airborne systems
Define the research, experiments, and development projects that support delivering mission autonomy capabilities
Identify gaps and define staffing needs to develop and deliver decision making and behavior capabilities
Ensure the decision making, behaviors, and motion planning technical plans align with short term R&D objectives, long term objectives, and the Merlin technology roadmap
Lead architecture design and perform architecture and technology trade-off analysis, accounting for short term objectives and long term goals in decision making
Step in to a hands-on software development role as needed
Support simulation, integration, and flight test activities to validate real-world performance
Collaborate across Merlin to develop novel systems to solve the toughest problems in aviation and autonomy

What we offer

Catered lunches
Snacks
Beverages including coffee, tea, and other drinks
Health insurance
Dental insurance
Life insurance
Unlimited vacation
401k with match

Fulltime

Vice President of Autonomy

We’re building the brains of the airplane. As the Vice President of Autonomy, yo...

Location

United States , Boston

Salary:

Not provided

Merlin Labs

Expiration Date

Until further notice

Requirements

BS/MS in Computer Science, Robotics, Aerospace Engineering, or a related field
10+ years of experience in autonomy software development, with 5+ years in engineering leadership roles
Deep expertise in one or more autonomy domains: GNC, path planning, multi-agent coordination, behavior trees/state machines, etc.
Strong track record delivering real-world autonomy systems in aviation, defense, robotics, or space
Familiarity with safety-critical software development and relevant standards (DO-178C, MISRA, etc.)
Experience managing complex software teams, including agile workflows and large codebases
Skilled in C, C++, Python, and real-time systems development
Excellent cross-functional collaboration and communication skills

Job Responsibility

Lead the Autonomy Software team developing flight, mission, and campaign autonomy capabilities for the Merlin Pilot
Define and evolve software architecture in partnership with the Chief Product Officer, CTO, Chief Architect and Systems Engineering team
Ensure on-time delivery of modular, testable, and airworthy autonomy software that meets system-level performance and safety requirements
Oversee software development, integration, and test across all layers of autonomy—perception, planning, guidance/navigation/control (GNC), decision-making, and behavior modeling
Drive use of modern software practices, including modern version control and release techniques, automated builds, simulation-in-the-loop testing, and traceable requirements
Collaborate closely with Simulation, Compute Integration, and Systems teams to enable effective development and validation workflows
Foster a strong technical culture focused on clarity, ownership, safety, and continuous improvement
Mentor and grow engineers and technical leads within the team
Partner with the VP of Merlin Pilot Engineering to align staffing, schedule, and priorities to the product roadmap
Support regulatory and customer engagements, including technical documentation and test plans for certification/accreditation where required

What we offer

Catered lunches
Snacks
Beverages including coffee and tea
Health insurance
Dental insurance
Life insurance
Unlimited vacation
401k with match

Fulltime

Senior Software Engineer, Infrastructure & Simulation

Mach Industries is building autonomous systems that must be thoroughly tested an...

Location

United States , Huntington Beach

Salary:

170000.00 - 210000.00 USD / Year

Mach Industries

Expiration Date

Until further notice

Requirements

Strong software engineering fundamentals with 5+ years of experience building production systems or developer infrastructure
Proficiency in C++ and at least one systems language such as Python, Rust, or C
Experience building or working with simulation, testing, or validation frameworks for complex software or embedded systems
Familiarity with CI/CD pipelines, containerization (Docker), and modern build systems
Experience scaling test infrastructure across distributed or cloud compute environments
Knowledge of infrastructure tooling such as Jenkins, GitHub Actions, Terraform, or similar

Job Responsibility

Design, build, and maintain simulation and validation infrastructure for aircraft systems, including discrete simulations of avionics, sensors, power distribution, flight controls, and embedded software
Develop and operate Software-in-the-Loop (SITL) and Hardware-in-the-Loop (HITL) frameworks to support rapid development, regression testing, and system validation across flight autonomy and embedded stacks
Build software infrastructure to emulate bare-metal drivers, avionics peripherals, and aircraft system behaviors, enabling early validation, fault injection, and failure-mode testing
Create and scale automated test pipelines that integrate simulation and HIL into CI/CD workflows to continuously validate flight software performance, safety, and reliability
Collaborate closely with autonomy, embedded, avionics, and systems engineers to define robust test strategies aligned with real-world flight profiles, environmental conditions, and operational constraints
Improve simulation fidelity, determinism, and performance to close the gap between simulated behavior and real aircraft dynamics
Optimize build and test infrastructure to leverage parallel execution, cluster computing, and shared compute resources for large-scale simulation and regression workloads
Define, track, and evolve metrics for test quality, coverage, and traceability, driving continuous improvement in aircraft software validation and confidence

What we offer

Offers Equity
healthcare, dental and vision plans
retirement savings
paid time off
funds for continuing education, training, and career growth

Fulltime

New

Manager, Autonomy Systems Validation

As a Manager, Autonomy Systems Validation, you will lead a team of systems and s...

Location

United States , Milford, Michigan; Sunnyvale, California

Salary:

189300.00 - 290700.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Advanced degree in Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Data Science, or related fields
10+ years of experience in systems engineering, robotics, systems analysis, data analysis, statistical analysis, validation, or other related fields
2+ years of experience leading engineers in a people management or dotted-line technical leadership role
Strong foundations in systems engineering including decomposition of complex systems, defining clear interfaces, and traceability best practices
Demonstrated ability to design and review multi-environment test strategies spanning simulation, bench/HIL, closed course, and on-road testing, or similar
Comfortable working with data and metrics with proficiency in python/SQL, dashboard building, and test scripting
Excellent communication skills, able to explain complex technical topic in clear, simple language. Ability to tailor messages to engineers, cross-functioanl partners, and senior leaders
Proven ability to operate in ambiguity, create structure, and move from quick prototypes to robust, scalable solutions on tight timelines

Job Responsibility

Lead a team of systems and software engineers focused on defining autonomy boundaries, defining behavior in normal and edge-case scenarios, and translating that scope and behavior into clear requirements and validation plans
Own feature and subsystem level requirements and validation strategies for areas such as system state and mode management, ODD entry/exit behavior, and collision response
Build and maintain validation frameworks across simulation, hardware-in-the-loop / bench, closed course, and on-road testing
Define and review metrics and acceptance criteria that describe success for these systems and ensure they are connected to requirements and safety goals
Partner with cross-functional teams including safety, embodied AI, simulation, platform, and product management to integrate validation outputs into development workflows, program decisions and the safety case
Work with data and tools (e.g. Python/SQL, dashboards, scorecards, requirements and test management systems) to turn test results into clear insights and recommendations
Hire, develop, and mentor engineers
set clear expectations, provide regular feedback, and foster an inclusive, high performance team culture
Represent your workstreams in program reviews, leadership forums, communicating status, risks, trade-offs, and validation readiness concisely
Champion improvements to processes and tools that make it easier for the organization to author, trace, and execute system-level validation plans at scale

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Lead, Mission Autonomy

The Lead, Mission Autonomy is responsible for delivering reliable, repeatable mi...

Location

United States , Atlanta

Salary:

150875.00 - 204125.00 USD / Year

Hermeus

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Aerospace Engineering, Electrical Engineering, Robotics, Computer Engineering, Computer Science, or a related technical field
5+ years of experience working with autonomy, mission systems, avionics, or mission-critical vehicle software
Experience developing or integrating mission-level software within a larger system-of-systems architecture
Experience interfacing autonomy or mission software with vehicle management or control systems through well-defined interfaces
Strong understanding of mission systems, autonomy architectures, and system integration
Experience integrating sensors and perception systems into operational workflows
Demonstrated ability to own and deliver system-level behavior on a vehicle platform
Proven ability to lead technical execution across multidisciplinary teams
Comfortable operating in a fast-paced development and test environment
Strong communication skills and ability to make and defend technical decisions

Job Responsibility

Own end-to-end technical outcomes for mission autonomy capabilities within the MMS, from design through integration, test, and flight readiness
Lead the development and integration of mission-level decision-making and behavior sequencing within the MMS, tightly coupling autonomy functions with the Vehicle Management System (VMS), integrating sensor and perception systems to support mission behavior, and enabling execution of complex mission flows across multiple flight phases
Define, implement, and validate interfaces between MMS autonomy components, VMS, avionics, sensors, and ground systems
Lead development of aircraft-specific autonomy extensions, orchestration logic, and integration software within the MMS required to enable mission-ready operation
Drive autonomy-related avionics and sensor integration and system bring-up as required
Ensure mission autonomy behavior is reliable, repeatable, and compatible with operational workflows across ground and flight test environments
Own autonomy integration testing, validation strategies, and participation in ground and flight test campaigns
Identify system-level mission behavior and integration risks early and lead mitigation across software, avionics, sensor, and vehicle interfaces
Provide day-to-day technical leadership, mentorship, and feedback to engineers within the Mission Autonomy scope
Coordinate closely with the Air Segment, Ground Segment, and Flight Sciences / VMS teams to resolve dependencies, integration challenges, and interface issues

What we offer

100% employer-paid health care
401k & retirement plans
Unlimited PTO
Weekly paid office lunches
Fully stocked breakrooms
Stock options
Paid Parental Leave
Competitive salary and equity
Potential for year-end bonuses

Fulltime

Sdet ii - ai applications

As a Software Development Engineer in Test (SDET) II, you will play a critical r...

Location

United States , Mendon

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Software Engineering, or a related field
3-5 years of experience in software testing, validation engineering, machine learning engineering, or autonomous systems development
Strong understanding of AI behavior, model evaluation, data pipelines, and real time system interactions
Hands on experience with automated testing frameworks, simulation tools, scenario generation, or hardware in the loop validation
Ability to design testing architectures that scale across cloud, embedded, and robotics environments
Experience analyzing metrics, failure cases, regression patterns, and long tail performance challenges
Ability to collaborate with research, robotics, infrastructure, and product teams to define and execute complex testing plans
Strong programming skills in languages used for verification and automation such as Python, C++, or similar
Experience with CI/CD systems, version control, and structured testing workflows
Strong problem solving and analytical capabilities with a focus on reliability and safety

Job Responsibility

Define and own the AI driven testing strategy for autonomy across simulation, hardware, software, and real-world validation
Develop automated verification pipelines that use AI, data driven analysis, and intelligent test generation to evaluate system performance at scale
Design tests that expose edge cases, failure modes, rare events, and long tail conditions critical for safe autonomous operation
Integrate testing workflows with model training pipelines, deployment systems, data infrastructure, and robotics platforms
Build metrics, dashboards, and evaluation frameworks that measure reliability, robustness, safety, and regression impacts across model updates
Collaborate with AI researchers, robotics engineers, software developers, and safety teams to ensure testing requirements align with system capabilities and operational constraints
Use simulation tools, digital twins, and scenario generation to replicate diverse operating conditions and evaluate autonomous behaviors
Validate AI performance on hardware in the loop, software in the loop, and real-world testing environments
Develop tools that automate labeling, anomaly detection, and performance triage to accelerate debugging and model improvement
Identify gaps in test coverage, implement continuous improvements in test methodologies, and maintain high verification standards

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

Sdet ii - ai applications

As a Software Development Engineer in Test (SDET) II, you will play a critical r...

Location

United States , Lehi

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Software Engineering, or a related field
3-5 years of experience in software testing, validation engineering, machine learning engineering, or autonomous systems development
Strong understanding of AI behavior, model evaluation, data pipelines, and real time system interactions
Hands on experience with automated testing frameworks, simulation tools, scenario generation, or hardware in the loop validation
Ability to design testing architectures that scale across cloud, embedded, and robotics environments
Experience analyzing metrics, failure cases, regression patterns, and long tail performance challenges
Ability to collaborate with research, robotics, infrastructure, and product teams to define and execute complex testing plans
Strong programming skills in languages used for verification and automation such as Python, C++, or similar
Experience with CI/CD systems, version control, and structured testing workflows
Strong problem solving and analytical capabilities with a focus on reliability and safety

Job Responsibility

Define and own the AI driven testing strategy for autonomy across simulation, hardware, software, and real-world validation
Develop automated verification pipelines that use AI, data driven analysis, and intelligent test generation to evaluate system performance at scale
Design tests that expose edge cases, failure modes, rare events, and long tail conditions critical for safe autonomous operation
Integrate testing workflows with model training pipelines, deployment systems, data infrastructure, and robotics platforms
Build metrics, dashboards, and evaluation frameworks that measure reliability, robustness, safety, and regression impacts across model updates
Collaborate with AI researchers, robotics engineers, software developers, and safety teams to ensure testing requirements align with system capabilities and operational constraints
Use simulation tools, digital twins, and scenario generation to replicate diverse operating conditions and evaluate autonomous behaviors
Validate AI performance on hardware in the loop, software in the loop, and real-world testing environments
Develop tools that automate labeling, anomaly detection, and performance triage to accelerate debugging and model improvement
Identify gaps in test coverage, implement continuous improvements in test methodologies, and maintain high verification standards

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

Software Engineer, Autonomy Behavior Validation

General Motors

Location:
United States , Sunnyvale

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 16, 2026

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