Design and develop performant mathematical models of robots, manipulators, and environments; integrate simulation into CI/CD; balance fidelity and compute; collaborate with simulation, motion planning, controls, field ops and intelligence teams.
Role Description
We are looking to recruit an exceptional Modeling & Simulation Engineer to work on our robot models, environment models, and simulation pipeline.
In this role you will:
- Define simulation requirements
- Develop performant, cutting-edge mathematical models of robots, manipulators and the scenes in which they operate
- Strike the perfect balance between fidelity and computational complexity
- Integrate simulation-based assessment into CI/CD pipelines in a way that scales
- Make simulation an indispensable part of our entire design, development and deployment process
You will be working closely with the Simulation, Motion Planning & Controls, Field Operations and Intelligence teams.
QualificationsMust-have:
- MS or PhD in engineering, mathematics, computer science or a related discipline
- Experience in mathematical modeling of complex dynamic systems
- Ability to take ownership of a large, strategically important development project and drive its success
- Willingness to step in and support other teams when we have tight deadlines and problems to solve
Nice-to-have:
- Familiarity with environments for robotic simulation including Isaac Sim
- Experience in some combination of:
- applied optimization
- modeling of mechanical contact
- creation of detailed 3D world models
- GPU acceleration of physics simulations
- deployment of numerically-intensive simulations to cloud compute platforms
- integration of simulation tests into CI/CD pipelines
- creation of simulation test cases from real-world data
- simulation for HiL testing
Maven Robotics Santa Clara, California, USA Office
Santa Clara, CA , United States
Similar Jobs
Cloud • Security • Software • Cybersecurity • Automation
Sell GitLab to Canadian public sector enterprise accounts: lead pre- and post-sales, develop pipeline with partners, drive adoption and account plans, gather customer feedback, and coordinate cross-functional teams to close and expand strategic opportunities.
Top Skills:
Application Lifecycle ManagementApplication Security (Appsec) ToolsCi/CdDevsecopsGitGitlabSoftware Development Tools
Artificial Intelligence • Marketing Tech • Software
Lead productionization of deep learning models and scale ML systems for marketing personalization. Build, optimize, monitor, and deploy reliable, high-performance AI products; integrate research into product, mentor engineers, and drive adoption and evaluation (A/B testing, monitoring, orchestration).
Top Skills:
SparkGoogle Cloud PlatformPythonPyTorchScikit-LearnTensorFlowXgboost
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Design, build, test, and maintain enterprise integrations and automations across procurement, finance, and supply chain systems using MuleSoft and Zip iPaaS. Develop Python tools, write and optimize SQL, collaborate with stakeholders, ensure scalability and security, monitor production integrations, and contribute to documentation and DevOps practices.
Top Skills:
AirflowAWSCoupaDatabricksFivetranGitGoJavaKotlinLambdaLookerMulesoftOracle Fusion CloudPrefectPythonRdsS3SalesforceSAPSnowflakeSQLSqsWorkdayZipZip Ipaas
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


