Humble Robotics Logo

Humble Robotics

Simulation Engineer

Reposted 6 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
Mid level
In-Office
San Francisco, CA, USA
Mid level
Build and maintain Python-based simulation pipelines and tooling for closed-loop testing, synthetic data generation, and sensor simulation. Integrate neural rendering methods (Gaussian splatting, NeRFs, world models) into the sensor stack, expand scenario libraries and benchmarks, and collaborate with ML/autonomy teams to reduce sim-to-real gaps and support model training.
The summary above was generated by AI
About Humble Robotics 

Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We’re building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today’s global logistics network.

We’re a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don’t believe culture can be engineered – but when it falls into place, it’s a once-in-a-lifetime adventure.

Progress has never felt so present.

Position Overview

    Open to a range of experience levels

    We’re looking for a software engineer to join our simulation team. You’ll build the systems and tools that support closed-loop model testing, synthetic data generation, and sensor simulation. This work will work heavily with modern neural rendering approaches: Gaussian splatting, world models, and learned sensor models.

    We’re a small team early in the build. You’ll have real influence over both what we build and how we build it.

Key Responsibilities

  • Build and maintain Python pipelines and tooling for closed-loop testing and synthetic data generation
  • Integrate modern neural rendering techniques into our sensor simulation stack (e.g., Gaussian splatting, NeRFs, world models)
  • Expand and maintain the scenario library and benchmark suite used to evaluate perception, planning, and control
  • Develop synthetic data generation workflows, including scenario and agent behavior generation, to support model training
  • Work closely with ML and autonomy engineers to measure and reduce sim-to-real gaps, ensuring simulation reflects real-world behavior

Minimum Qualifications

  • BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field—or equivalent industry experience
  • Strong proficiency in Python (primary language of the simulation stack)
  • Experience working with simulation systems, ideally in robotics, autonomous vehicles, or other high-fidelity domains
  • Eligible to work in the United States

Preferred Qualifications

  • Experience with neural rendering or generative simulation (e.g., Gaussian splatting, NeRFs, world models, diffusion-based methods)
  • Depth in one or more areas of simulation: closed-loop testing, scenario design, log replay, or sensor simulation
  • Experience building benchmarks or evaluation frameworks used across a team
  • Experience developing synthetic data pipelines that improved downstream model performance
  • Familiarity with real-time robotic systems and their constraints on simulation fidelity
  • Comfortable working on a small team with high ownership and fast iteration cycles

Compensation

    This role is eligible for base salary \+ benefits \+ equity compensation. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location.

Additional Information

    As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact **[email protected]** to exercise this right or if you have further questions on the use of AI tools in our hiring process.

    Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances.

Similar Jobs

13 Days Ago
Hybrid
Sunnyvale, CA, USA
189K-291K Annually
Senior level
189K-291K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Design, implement, and optimize large-scale autonomous vehicle simulation testing pipelines and shared libraries. Build automation for test creation, data collection/analysis, debugging, and monitoring. Integrate AI tools to automate test generation and analytics, lead technical roadmaps, perform code reviews, and mentor engineers to improve AV behavior validation and deployment.
Top Skills: AirflowAmpComputational GeometryCursorDbtGithub CopilotLookerMachine LearningPythonRosSimulation FrameworksSQLStreamlitTime-Series Data AnalysisVisualization Libraries
13 Days Ago
Hybrid
Sunnyvale, CA, USA
157K-247K Annually
Senior level
157K-247K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Design and own large-scale simulation evaluation pipelines and metrics to validate autonomous driving software. Lead cross-functional integration, invent methodologies to quantify simulation trustworthiness, drive technical roadmaps, and present results via dashboards to inform release and safety decisions.
Top Skills: LookerPerformance Monitoring ToolsPythonSQLStreamlitTime-Series Data AnalysisUnit Testing
13 Days Ago
Hybrid
Sunnyvale, CA, USA
129K-198K Annually
Senior level
129K-198K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Build and maintain large-scale simulation evaluation pipelines, dashboards, and reports to quantify simulation accuracy and reliability. Collaborate with Autonomy, Systems, Safety, and Simulation teams to define validation methodologies, lead technical design and code quality, mentor engineers, and apply analytics and AI-assisted tools to improve simulation testing and monitoring.
Top Skills: Ai-Assisted Development ToolsLookerPerformance Monitoring ToolsPythonSimulation FrameworksSQLStreamlitTime-Series AnalysisUnit Testing

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account