Develop and deploy robotics software across navigation, perception, teleoperation, motion behaviors, and warehouse-management integrations. Build features in C++ and Python using ROS2, debug autonomous navigation, containerize deployments with Docker, and commission robots on customer warehouse sites. The role involves hands-on work with real hardware, sensors, embedded compute, and fleet systems, with mentorship from senior roboticists and ownership of features from prototype through production deployment.
As one of our early junior engineers, you'll write software that runs on real robots in customer warehouses. You'll work across the stack - navigation, perception, teleoperation, and the integrations that connect our robots to warehouse management systems - and you'll be on the floor helping bring deployments live at client sites. You'll be paired with senior roboticists who will mentor you, review your code, and hand you real ownership fast. This is a hands-on role for someone who is energized by physical hardware and wants to grow quickly.
- Develop and improve features across our ROS2 stack in C++ and Python - navigation, mapping and localization, perception, and motion behaviors and ship them to robots running on NVIDIA Jetson and Custom Platforms.
- Tune and debug autonomous navigation and obstacle avoidance so Robots move safely and efficiently through dynamic, human-occupied warehouse aisles.
- Build and improve teleoperation and human-in-the-loop tooling that lets operators monitor, assist, and recover robots remotely.
- Contribute to integrations between our robots and warehouse management systems so tasks flow correctly between the WMS and the fleet.
- Containerize and deploy software with Docker across our fleet, and help commission and troubleshoot robots on-site at warehouse deployments.
- Own features end-to-end; from prototype, through testing, to reliable behavior on real hardware and feed what you learn in the field back into the product.
- 0–2 years of experience (internships, research, and robotics competition teams count) building software, ideally in robotics, autonomous systems, or another physical/hardware domain.
- BS in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field or equivalent hands-on project experience.
- Working proficiency in C++ and Python.
- Comfort in a Linux/Ubuntu command-line environment and with Git in a team setting.
- Genuine interest in how software meets hardware (sensors, motors, embedded compute like Jetson/Raspberry Pi), demonstrated through projects, internships, or competition teams in areas like computer vision, autonomous navigation, or motion planning.
- Hands-on experience with ROS2 (or a similar pub/sub middleware) a strong candidate from a ROS1 or custom-middleware background can ramp quickly.
- Exposure to real robot hardware deployment, or to WMS/logistics/warehouse systems.
- Experience with Docker or other containerization.
- Robotic Manipulation
- Coursework or projects in SLAM, perception/computer vision, motion planning, or sensor fusion.
- A Master's degree in a robotics-related field is a plus, but is not required or expected.
- Real robots, real production: your code runs on robots doing real work in real warehouses, not just in simulation.
- Ownership: you'll own meaningful features early and see them through to the field.
- Mentorship: you'll learn directly from senior roboticists who care about growing you.
- Hardware access: hands-on time with AMRs, Humanoid Robots, manipulators, high powered compute, and a full sensor suite.
- On-site in the LA area, with regular time at customer warehouse sites for deployments.
The base pay range for this role is $100,000 – $200,000 per year.
Similar Jobs
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Build and operate governed Finance data infrastructure on Databricks, including scalable pipelines, integrations, semantic layers, data-quality controls, observability, and AI-enabled services. Partner with analytics and enterprise teams on architecture, data contracts, security, recoverability, and production ownership. Optimize platform costs through FinOps practices and use AI coding assistants while validating performance, correctness, and security.
Top Skills:
Ai Coding AssistantsCloud Data PlatformsData OrchestrationDatabricksDelta LakeLlm WorkflowsPysparkPythonSemantic LayersSnowflake CortexSQL
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Staff software engineer responsible for designing, building, and operating production authorization services. The role develops role-based, attribute-based, and policy-driven access controls; leads security reviews; builds cloud-native microservices and APIs; establishes engineering standards, observability, and deployment practices; mentors engineers; and supports critical systems through on-call rotations.
Top Skills:
Argo CdAzureAzure Key VaultDockerGithub ActionsGitopsGoGraph DatabasesHelmIamInfrastructure As CodeJavaJavaScriptKubernetesOauthOidcPythonRedisRelational DatabasesSpicedbSpring BootZanzibar
eCommerce • Fashion • Retail • Sales • Wearables • Design
Assist customers with product selection and styling, provide personalized recommendations, drive sales through strong customer relationships, complete POS transactions, and maintain stockroom and sales-floor operations. The role requires flexible scheduling, retail selling skills, collaboration, product knowledge, and the ability to lift up to 50 pounds occasionally while maneuvering throughout the store.
Top Skills:
Omni-Channel Selling ToolsPos SystemsSocial Media
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering



