Autonomy Simulation & Tools Engineer Job at Skydio (San Mateo)

Senior Software Engineer, Simulation

General Motors is a global leader in advanced driver assistance. With Super Crui...

Location

United States , Sunnyvale

Salary:

129400.00 - 198400.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

5+ years of applied experience developing complex evaluation, simulation, or test frameworks.
Proficient in developing Python for production systems, including unit testing, code review, performance tradeoffs, and reliability best practices.
Demonstrated ability to drive technical design and execution across multiple teams and organizations in a remote or distributed environment.
Strong communication and collaboration skills.
BS, MS, or PhD in Computer Science, Engineering, or equivalent experience.

Job Responsibility

Design, build, and maintain large-scale test infrastructure and evaluation pipelines that enable and quantify the accuracy, reliability, and efficiency of simulation tests used for autonomous vehicle software validation.
Develop and maintain GM's core simulation dashboards and reports, delivering clear, actionable, and interpretable insights on test operations, simulation trust and health trends to engineering teams and leadership.
Drive scalable simulation quality assessments, standardized processes, and automation to support seamless integration of automated outputs with human-in-the-loop analysis and evaluation.
Collaborate with cross-functional partners across Autonomy, Systems, Safety, and customer teams to define, refine, and drive consensus on simulation validation methodologies and requirements.
Uphold high standards for code quality and software architecture through code reviews and technical leadership, mentoring other engineers on software engineering and simulation testing best practices.
Leverage AI-assisted development tools and analytics platforms to enhance productivity, improve code quality, and drive innovation in simulation testing.

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

Software Engineer, Autonomy Behavior Validation

As a Software Engineer on the Software Validation team within the AV organizatio...

Location

United States , Sunnyvale

Salary:

123200.00 - 189100.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Master's degree in Computer Science, Software Engineering, Data Science, or related fields
1–3 years of professional software engineering experience (including internships, co-ops, or research engineering roles) building automation, internal tools, or data/analysis pipelines
Using large language models (LLMs) to summarize results, generate reports, or accelerate analysis
Building simple agents or scripts that chain tools together to complete tasks end-to-end
Strong programming skills in Python and experience with SQL
Experience writing clean, well-tested, and maintainable code for data processing, backend services, or scientific/analytical workflows
Experience working with large datasets to derive insights, build analyses, or drive decisions
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 longer-term, production-ready solutions on brief time horizons
Excellent communication skills, capable of switching between high-level and detailed technical discussions

Job Responsibility

Design and deploy metrics and test strategies at scale to evaluate the behavior of autonomous vehicles in simulation and on-road
Translate validation strategies into production-quality code and automation pipelines that execute high-quality AV behavior analysis for continuous and scaled software release cycles
Leverage AI-assisted and agentic workflows to build internal tools and frameworks that make it easier to author, configure, and deploy metrics, tests, and validation artifacts
Ensure the quality and reliability of behavior validation outputs through monitoring, alerting, automated checks, and continuous improvement of the underlying code and data pipelines
Collaborate across teams to establish coding and automation best practices for the Software Validation organization
and understand stakeholder needs and translate them into robust tools and workflows

What we offer

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance
medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays

Fulltime

Engineer – Autonomy & Active Safety

This role supports the development and integration of advanced autonomy and acti...

Location

United States , Oshkosh

Salary:

Not provided

Carex Consulting Group

Expiration Date

Until further notice

Requirements

Accredited Bachelor’s degree in Engineering or a related field
Six (6) or more months of related work experience (internship experience acceptable)
Experience with Matlab/Simulink and embedded C/C++
Familiarity with C#, PLCs, Python, and SQL databases
Automotive industry experience preferred
Strong communication skills with the ability to collaborate effectively in a team environment
Ability to work onsite in Oshkosh, WI, with limited remote flexibility after initial training

Job Responsibility

Support the design, development, and validation of autonomy and active safety systems
Develop and maintain embedded software using C/C++ for real-time applications
Utilize Matlab/Simulink for modeling, simulation, and control system development
Collaborate with cross-functional engineering teams to integrate hardware and software components
Assist with system testing, troubleshooting, and performance optimization in both lab and field environments
Contribute to data analysis and database management using SQL and other relevant tools
Participate in occasional travel (approximately 10%) to customer and test sites for system validation and support
Communicate technical findings, project updates, and recommendations clearly to stakeholders

Robot Simulation Engineer

As a Simulation Engineer at Tutor Intelligence, you will build and own simulatio...

Location

United States , Watertown

Salary:

110000.00 - 160000.00 USD / Year

Tutor Intelligence

Expiration Date

Until further notice

Requirements

2+ years of hands-on experience with NVIDIA Isaac Sim in a production or research setting
Strong proficiency in Python and familiarity with robotics software stacks
Solid understanding of robotics fundamentals (kinematics, sensors, control, simulation fidelity tradeoffs)
Experience building or operating full-stack systems, including: Spinning up compute (cloud or on-prem)
Managing services, containers, or job orchestration
Standing up basic data pipelines and tooling without heavy hand-holding
Comfortable owning ambiguous problems and driving solutions from concept to working system
Able to work closely with both software-focused and hardware-focused teammates
Bias toward practical, shippable solutions over academic perfection

Job Responsibility

Design, build, and maintain simulation environments in NVIDIA Isaac Sim to support multiple robot platforms and use cases
Develop reusable simulation tooling, assets, and workflows that accelerate robotics development across teams
Model robots, sensors, environments, and task dynamics with sufficient fidelity to inform real-world deployment
Integrate simulation with autonomy stacks, perception systems, and testing pipelines
Own simulation infrastructure end-to-end, including: Compute, storage, and orchestration for running simulations
CI / automated testing hooks for simulation-based validation
Data logging, replay, and analysis pipelines
Collaborate closely with robotics, autonomy, and operations teams to ensure simulation reflects real-world constraints and failure modes
Debug simulation/real-world mismatches and iterate quickly to close the gap
Utilize real-world data to generic digital twin layouts (real-to-sim) for testing and development

What we offer

Competitive salary and meaningful equity
Fully employer-covered health and dental insurance
401(k)
Unlimited PTO
Regular in-office meals and team events
A collaborative, low-ego environment where people are trusted to do their best work

Fulltime

AI Simulation Engineer

As an AI Simulation Engineer, you will fuse simulation and AI to accelerate trai...

Location

United States , Mendon

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Experience in AI, robotics, simulation engineering, or machine learning model development
Strong understanding of simulation environments, synthetic data workflows, scenario generation, or virtual testing systems
Experience integrating AI models into simulation frameworks for training, validation, or performance testing
Proficiency in Python, C++, or similar languages used for simulation tools and AI development
Experience working with robotics concepts such as perception, planning, control, or vehicle dynamics
Ability to analyze real world data and convert it into simulated scenarios that expose edge cases and system weaknesses
Experience with cloud simulation infrastructure, distributed compute, or GPU accelerated workloads
Strong problem solving and analytical abilities, with the skill to bridge real world system behavior and simulated environments
Ability to collaborate effectively with cross functional engineering teams and communicate technical concepts clearly

Job Responsibility

Fuse simulation and AI to accelerate training, validation, and edge case discovery for safe autonomous deployment
Build closed loop systems where on-field data improves simulation, and simulation sharpens real world performance
Develop simulation driven workflows that generate diverse scenarios, edge cases, and long tail events to improve AI robustness
Integrate perception, planning, control, and vehicle dynamics models into high fidelity simulation environments
Create automated validation pipelines that use simulation to stress test autonomy performance across environments, weather, terrain, and failure modes
Use generative models or data augmentation techniques to expand scenario coverage and reduce reliance on costly on-field testing
Enhance simulation fidelity by incorporating real world telemetry, sensor data, logs, and environmental conditions
Develop tools that measure model performance, regression trends, safety margins, and reliability metrics within simulated environments
Collaborate with autonomy, robotics, data, and test teams to ensure simulation tools and AI workflows reflect real world behavior and operational constraints
Optimize simulation infrastructure for speed, scalability, and throughput across local, cloud, and distributed compute

What we offer

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

Fulltime

AI Simulation Engineer IV

As an AI Simulation Engineer, you will fuse simulation and AI to accelerate trai...

Location

United States , Lehi

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Experience in AI, robotics, simulation engineering, or machine learning model development
Strong understanding of simulation environments, synthetic data workflows, scenario generation, or virtual testing systems
Experience integrating AI models into simulation frameworks for training, validation, or performance testing
Proficiency in Python, C++, or similar languages used for simulation tools and AI development
Experience working with robotics concepts such as perception, planning, control, or vehicle dynamics
Ability to analyze real world data and convert it into simulated scenarios that expose edge cases and system weaknesses
Experience with cloud simulation infrastructure, distributed compute, or GPU accelerated workloads
Strong problem solving and analytical abilities, with the skill to bridge real world system behavior and simulated environments
Ability to collaborate effectively with cross functional engineering teams and communicate technical concepts clearly

Job Responsibility

Fuse simulation and AI to accelerate training, validation, and edge case discovery for safe autonomous deployment
Build closed loop systems where on-field data improves simulation, and simulation sharpens real world performance
Develop simulation driven workflows that generate diverse scenarios, edge cases, and long tail events to improve AI robustness
Integrate perception, planning, control, and vehicle dynamics models into high fidelity simulation environments
Create automated validation pipelines that use simulation to stress test autonomy performance across environments, weather, terrain, and failure modes
Use generative models or data augmentation techniques to expand scenario coverage and reduce reliance on costly on-field testing
Enhance simulation fidelity by incorporating real world telemetry, sensor data, logs, and environmental conditions
Develop tools that measure model performance, regression trends, safety margins, and reliability metrics within simulated environments
Collaborate with autonomy, robotics, data, and test teams to ensure simulation tools and AI workflows reflect real world behavior and operational constraints
Optimize simulation infrastructure for speed, scalability, and throughput across local, cloud, and distributed compute

What we offer

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

Fulltime

ZEROe Simulation Model Engineer

The job holder will be accountable for Simulation aspects in the ZEROe projects....

Location

Spain , Madrid Area

Salary:

Not provided

Airbus

Expiration Date

Until further notice

Requirements

Master's degree / Diploma in Engineering or similar qualifications
Experience working in some of the following tools: Simulation of thermal management systems using Star-CCM+ and CATIA V5
Experience in Multiphysics Simulation with Dymola/Modelica, Matlab Simulink, Amesim
Experience in CFD modeling and simulation correlation with test/flight test data results is a plus
Experience in CFD modeling with solid and fluid is plus
Experience in Python, Java and Git is desirable
Experience in air/liquid thermal equipment in Automotive or other industries is a plus
Design knowledge in structure and system integration (electrical and mechanical) is a plus
Highly curious and proactive person with a great sense of initiative, autonomy, flexibility, integrity, able to manage confidential topics
Strong team spirit in an international environment, easy contact, good networking, interpersonal and communication skills

Job Responsibility

Develop CFD models and run simulations to evaluate the performance of systems using Star-CCM+
Perform Multiphysics Simulation with Dymola
Support the design and integration of mentioned systems from architecture to design phase up to manufacturing and testing

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

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Autonomy Simulation & Tools Engineer

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