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

Software Engineer, Autonomous Vehicles Software Systems - Early Career

Role: As a Software Engineer on the Software Validation team within the AV organ...

Location

United States , Sunnyvale; Warren

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Recently completed or completing Master's degree in Spring 2026 in Computer Science, Mechanical Engineering, Aerospace Engineering, Physics, Data Science, or related fields
Experience in software engineering
bonus if overlap in systems engineering, robotics, systems analysis, data analysis, statistical analysis, or other related fields
Strong skills in utilizing AI to accelerate SW development
Experienced with SQL, Python, and C++ for analyzing large data sets and building production-quality simulation testing products
Strong analytical thinking skills with the ability to interpret data and derive impactful conclusions
Ability to adapt and operate under ambiguity, going from quick code prototypes to long-term plans on brief time horizons
Excellent communication skills, capable of switching between high-level and detailed discussions

Job Responsibility

Develop and prototype strategies to benchmark autonomy systems’ performance
Convert validation strategies into production code that executes high quality AV behavior analysis for continuous and scaled software release cycles
Utilize performance data gathered from in-simulation, on-bench, on-road testing, to create actionable insights for AI developers to continuously improve the stack performance
Use data analytics to facilitate data driven design, validation, risk analysis, and prioritization decisions
Build tools that scale systems engineering prototyped testing products to additional users like the software release team and Embodied AI
Facilitate cross-team collaboration to establish coding best practices for the Software Validation Organization

Fulltime

Senior Software Engineer

Our team is at the forefront of transforming digital advertising through intelli...

Location

United States , Mountain View

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience

Job Responsibility

Collaborate with data scientists, ML engineers, and product teams to define requirements for agentic AI-driven bidding capabilities that observe, reason, and adapt autonomously
Architect and implement the next-generation agentic bidding platform, enabling AI agents to monitor marketplace signals, interpret advertiser and user behavior, and continuously optimize bidding strategies
Build large-scale data validation and quality frameworks to ensure correctness, consistency, and reliability across all auction-critical signals feeding the AI agents
Act as a Designated Responsible Individual (DRI): drive operational excellence, incident management, on-call readiness, and high-availability practices for mission-critical bidding services
Develop experimentation and simulation frameworks to validate agent behavior and optimize policies before deployment in live auctions
Proactively adopt new patterns, technologies, and engineering practices to improve availability, efficiency, performance, and scalability across the bidding stack
Set technical direction, mentor engineers, and foster a culture of high-quality execution, innovation, and accountability
Explore and invest in emerging AI techniques - multi-agent systems, adaptive optimization - to enhance the autonomy, intelligence, and impact of the bidding platform

What we offer

Benefits and other compensation
Religious accommodations
Reasonable accommodations for disability during application process

Flight Software Engineer

At NewOrbit Space, our mission is to engineer the lowest orbiting satellites on ...

Location

United Kingdom , Reading

Salary:

Not provided

NewOrbit Space

Expiration Date

Until further notice

Requirements

Proven experience in building production embedded or real-time systems in C/C++ and/or Rust on RTOS or Embedded Linux for space systems
Strong grasp of real-time software: scheduling, interrupts, concurrency primitives, determinism, and designing for constrained CPU/memory
Proven ability to build reliable, testable systems: unit/integration testing, simulation-first development, HIL validation, and disciplined debugging
Hands-on experience integrating with hardware via common interfaces (I2C, SPI, UART, CAN(-FD), GPIO, etc.) and practical lab debugging
Solid software engineering fundamentals: architecture, code review, static analysis, CI/CD, configuration management, and observability/logging
Ability to own systems end-to-end: from requirements and design through implementation, verification, operations support, and iterative improvement

Job Responsibility

Own the on-board flight-software stack – design, implement and test real-time Rust/C/C++ on RTOS or Embedded Linux
Integrate subsystems end-to-end – define ICDs and build drivers/middleware over I2C/SPI/UART/CAN(-FD)/SpaceWire (as applicable)
Build spacecraft behaviors & autonomy – implement mode management, sequencing, and autonomous FDIR for safe and productive operations
Deliver reliable real-time performance – manage concurrency, timing, CPU/memory budgets, and observability under tight constraints
Build verification infrastructure – prototypes, SIL/HIL test harnesses, simulations, and telemetry analysis tooling to validate designs early
Ship code from review to orbit – push through CI/CD, support integration and launch ops, and deliver secure over-the-air updates
Work across disciplines – collaborate with avionics, AOCS, comms and mission teams to trade compute, power, thermal, storage and link budgets

What we offer

Equity and Competitive Salary
Comprehensive Benefits Package – Including private health insurance with dental and optical coverage, annual healthcare check-ups etc
Hybrid Work - A hybrid setup with one dedicated remote day per week
Relocation package and visa sponsorship if joining from abroad

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

Software Engineer 3 - Sensor Fusion and Perception

We are a multidisciplinary R&D team focused on developing autonomous navigation ...

Location

United States , Tampa

Salary:

Not provided

AEVEX Aerospace

Expiration Date

Until further notice

Requirements

Proficiency with sensor fusion algorithms (e.g., EKF, UKF, factor graphs, SLAM) and navigation concepts (inertial navigation, visual odometry, GPS-denied PNT)
Advanced programming skills in C++, Python, and/or MATLAB, with familiarity in modern development workflows (Git, CI/CD)
Strong problem-solving skills and ability to analyze large datasets from multi-sensor systems
Familiarity with open-source navigation and SLAM frameworks (e.g., ORB-SLAM, VINS-Mono, GTSAM, Cartographer)
Demonstrated ability to write technical documentation, reports, or publications
Bachelor’s Degree in computer Engineering, Robotics, Electrical Engineering, Aerospace Engineering, or a closely related field
5+ years of relevant industry or research experience in robotics, autonomous systems, or navigation algorithm development
Experience with computer vision and ML frameworks such as OpenCV, PyTorch, or TensorFlow
Experience with embedded systems, real-time computing, and deploying algorithms to fielded platforms
Experience leading or significantly contributing to R&D projects involving autonomy or robotics

Job Responsibility

Design, implement, and deploy robust sensor fusion and state estimation algorithms for autonomous navigation in degraded GPS environments
Lead development of perception and localization systems that integrate data from vision, IMU, GNSS, and alternative navigation sensors
Develop and optimize algorithms for real-time performance on embedded and edge compute platforms (e.g., Jetson, FPGA, ARM SoCs)
Perform simulation-based validation and hardware-in-the-loop testing using environments such as ROS, Gazebo, or CARLA
Drive research into emerging techniques, including deep learning for perception and SLAM, and assess applicability to navigation problems
Mentor junior engineers and contribute to project planning, code reviews, and system integration efforts
Interface with internal and external collaborators to support test campaigns, data collection, and field evaluations
Perform other duties as required
Regular and reliable attendance on a full time basis [or in accordance with posted schedule]
Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices

What we offer

401(k)-retirement plan
comprehensive Medical, Dental, Vision, Disability and Life insurance group coverage with a portion of the premiums paid by the company
professional development funds
an Employee Assistance Plan (EAP) with counseling, legal help, child and elder care support, among other benefits for qualified employees

Fulltime

Principal Software Engineer

Our team is at the forefront of transforming digital advertising through intelli...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Collaborate with data scientists, ML engineers, and product teams to define requirements for agentic AI-driven bidding capabilities that observe, reason, and adapt autonomously.
Architect and implement the next-generation agentic bidding platform, enabling AI agents to monitor marketplace signals, interpret advertiser and user behavior, and continuously optimize bidding strategies.
Build large-scale data validation and quality frameworks to ensure correctness, consistency, and reliability across all auction-critical signals feeding the AI agents.
Act as a Designated Responsible Individual (DRI): drive operational excellence, incident management, on-call readiness, and high-availability practices for mission-critical bidding services.
Develop experimentation and simulation frameworks to validate agent behavior and optimize policies before deployment in live auctions.
Proactively adopt new patterns, technologies, and engineering practices to improve availability, efficiency, performance, and scalability across the bidding stack.
Mentor engineers, and foster a culture of high-quality execution, innovation, and accountability.
Explore and invest in emerging AI techniques — multi-agent systems, adaptive optimization—to enhance the autonomy, intelligence, and impact of the bidding platform.

Fulltime

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

AI Systems Engineer - Agentic Autonomy

We are seeking an AI Systems Engineer with deep expertise in large language mode...

Location

United States , Greater Boston

Salary:

140000.00 - 180000.00 USD / Year

HavocAI

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Robotics, or a related field
Deep hands-on experience building with LLMs and multi-agent/agentic AI frameworks
Strong software engineering background in modern ML frameworks, cloud orchestration, and API development
Experience integrating AI systems into larger software architectures or robotics/autonomy workflows
Understanding of RAG pipelines, tool-use frameworks, LLM function-calling, memory systems, and agent orchestration
Experience with safety evaluation, model alignment, or mission-critical AI system validation
Ability to lead system-level design discussions and coordinate across multiple engineering disciplines
Must be a U.S. Citizen and eligible to obtain a Secret Clearance

Job Responsibility

Lead the design and development of LLM-powered software modules for mission reasoning, planning, operator interaction, and autonomous decision support
Integrate LLMs and agentic systems into HavocAI’s autonomy architecture, including ROS/ROS2 systems, planning engines, and mission software
Build multi-agent, tool-using AI systems that interact with perception data, mission databases, simulation systems, and operator inputs
Develop APIs, wrappers, and orchestration layers enabling LLMs to interface safely with embedded, cloud, and edge compute environments
Optimize LLM inference pipelines for performance, latency, and reliability in field-deployed systems
Evaluate model behavior, perform safety testing, and develop guardrails for mission-critical use cases
Collaborate with autonomy, embedded, simulation, and full-stack teams to define requirements and ensure robust system-level integration
Guide strategic decisions on model selection, fine-tuning approaches, safety frameworks, and long-term AI architecture
Contribute to field testing, operator evaluations, and iterative deployment cycles for AI-augmented autonomy systems

What we offer

100% Employer paid Health, Dental and Vision Insurance for you and your families
Life Insurance (Employer Paid)
Ability to participate in the companies 401k program (Matching)
Unlimited PTO policy with an enforced 2 week minimum
Equity Package
Work / Home Office Stipend
Global Entry
16 Week Paid Parental Leave
Monthly Health and Wellness Stipend

Fulltime

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Software Engineer, Autonomy Behavior Validation

Job Description

Job Responsibility

Requirements

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