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Jobs

Computer Vision AI & ML Engineer Skild AI

Computer Vision AI & ML Engineer
San Mateo

Develop and optimize deep learning models for depth estimation, object detection, segmentation, tracking, and 3D scene understanding using multi-modal sensor data. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society.

30+ days ago

Senior DevOps Engineer Skild AI

Senior DevOps Engineer
San Mateo

You will own the systems that let our engineering teams move fast — from build tooling and CI/CD pipelines to cross-platform hardware-in-the-loop testing infrastructure. Own and scale Bazel/Skylark build infrastructure from scratch, including custom rules, toolchains, and remote caching across a multi-language codebase.

30+ days ago

Software Engineer, AI Inference Skild AI

Software Engineer, AI Inference
San Mateo

Formulate specialized optimization solutions for various inference paradigms and scenarios (autoregressive models, denoising models, hierarchical models, state machines, multi-agent systems, cloud-based inference). Build infrastructure, frameworks, and tooling to enable reliable integration of models into robotic systems and informative analysis of production models to drive the direction of architecture choice and deployment system design.

30+ days ago

Software Engineer Watney

Software Engineer
San Francisco, California

Off-Robot Systems: Build cloud infrastructure, load balancing, and high-throughput pipelines to ingest and process petabyte-scale telemetry streams in real time. Watney builds and deploys autonomous robotic systems that increase the speed and capacity of buildout, starting with data centers.

19 days ago

Hardware Engineer Onepot

Hardware Engineer
South San Francisco, California

We would love to see things you have built independently or as part of a small team — drones, robotic arms, scientific instruments, manufacturing equipment, custom electronics, liquid-handling robots, or other technically ambitious projects. You may build systems for liquid or solid dispensing, vial and plate handling, reaction setup, heating and cooling, inert-atmosphere operations, sampling, instrument loading, or automated analysis.

17 days ago

Mechanical Engineer - Hands Compliant Elements Figure AI Inc

Mechanical Engineer - Hands Compliant Elements
San Jose, CA
  • $120,000–$250,000 / year

Extensive experience designing for injection molding, including shipping complex injection molded parts with variable materials and complex tooling (e.g., side actions, lifters, overmolding). The ideal candidate has operated in a high-tech, fast-paced environment, is comfortable driving across multiple stakeholders, and has a strong background in materials characterization, complex injection molding, and validation of flexible systems.

30+ days ago

Hardware Integration Engineer DoorDash Inc

Hardware Integration Engineer
San Francisco, CA
  • $44.90–$66 / hour

We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers.

30+ days ago

Mechanical Design Engineer Skild AI

Mechanical Design Engineer
San Mateo

We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. You will be responsible for designing, developing, and testing electro-mechanical hardware systems that include haptic devices, exoskeletons, and others.

30+ days ago
New

Reliability Support Engineer SGS SA

Reliability Support Engineer
Mountain View, CA
  • $80,000–$85,000 / year

Experience integrating, troubleshooting, or programming robotics and automation systems (e.g., robotic arms, linear actuators, PLCs, motor drivers, automated pick-and-place fixtures). With over 97,000 employees in 130 countries and operating a network of more than 2,400 offices and laboratories, we provide services to almost every industry by assuring quality and safety of products and services.

6 days ago

Helix AI Engineer, Localization and Mapping Figure AI Inc

Helix AI Engineer, Localization and Mapping
San Jose, CA
  • $200,000–$400,000 / year

Responsibilities: Architect and implement real-time localization, ego-motion tracking, and state estimation systems by fusing multi-modal sensor data (cameras, IMUs, encoders, magnetic sensors). Our AI team is looking for Localization and Mapping Engineers to empower Figure humanoid robots to perform highly dynamic operations in demanding real-world environments.

30+ days ago

Embedded Software Engineer, Optimus Tesla Inc

Embedded Software Engineer, Optimus
Palo Alto, CA
  • $140,000–$390,000 / year

In this role, you will develop scalable drivers to interface with an ASIC or bring up a new communication protocol or optimize existing drivers to improve performance or write application-level modules to achieve a specific function on a given subsystem. Come join a team of deeply knowledgeable engineers that strive to build the most robust and reliable embedded systems using cutting edge software development tools and practices.

30+ days ago

Internship, Embedded Software Engineer, Optimus (Fall 2026) Tesla Inc

Internship, Embedded Software Engineer, Optimus (Fall 2026)
Palo Alto, CA
  • $20–$60 / hour

In this role, you will develop scalable drivers to interface with an ASIC or bring up a new communication protocol or optimize existing drivers to improve performance or write application-level modules to achieve a specific function on a given subsystem. Come join a team of deeply knowledgeable engineers that strive to build the most robust and reliable embedded systems using cutting edge software development tools and practices.

30+ days ago

AI Integration Engineer, Tesla AI Tesla Inc

AI Integration Engineer, Tesla AI
Palo Alto, CA
  • $140,000–$390,000 / year

Integration Engineers on the Autonomy team, work at the intersection of AI, robotics, and systems integration, bringing Tesla's cutting-edge technology to life across both vehicle and robotic platforms. From early stage prototyping to production deployment, the team contributes to the development of core features and infrastructure that power autonomy in both Tesla vehicles and robots.

30+ days ago

Senior Gear Design Engineer Figure AI Inc

Senior Gear Design Engineer
San Jose, CA
  • $160,000–$250,000 / year

We are looking for a Senior Gear Design Engineer to own gear and transmission design for our humanoid robot''s hands - some of the most power-dense, space-constrained actuators in the world. Perform gear sizing, contact/bending stress analysis, and micro-geometry optimization (profile and lead modifications) in KISSsoft to meet efficiency, durability, backlash, and NVH targets.

13 days ago

AI Engineer, Model Distillation, Tesla AI Tesla Inc

AI Engineer, Model Distillation, Tesla AI
Palo Alto, CA
  • $124,000–$558,000 / year

You will work with one of the richest real-world driving, robotics and human-interaction datasets available, spanning vision, language, action, and on-robot telemetry providing a unique environment to study how capability transfers from large teacher models into compact students that must run under strict latency, power, and reliability constraints. Tesla also offers one of the highest GPU resources per engineer in the industry, giving you the computational budget to train frontier-scale teachers, generate high-quality distillation corpora at volume, and iterate on student architectures far beyond typical research environments.

30+ days ago

Embedded Software Engineer - Labs, DoorDash Air DoorDash Inc

Embedded Software Engineer - Labs, DoorDash Air
San Francisco, CA
  • $159,800–$235,000 / year

We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers.

19 days ago

Sr. Electrical Engineer, Optimus Hardware Validation Tesla Inc

Sr. Electrical Engineer, Optimus Hardware Validation
Palo Alto, CA

The ideal candidate will have a solid background in electrical andor electronic engineering including low voltage and power distribution systems and an understanding of electromechanical or robotic systems. Collaboration with cross-functional teams will be a key part of your role requiring strong technical and problem-solving skills to contribute to the cutting-edge technology of the Optimus.

30+ days ago

Wire Harness Engineer Figure AI Inc

Wire Harness Engineer
San Jose, CA
  • $125,000–$225,000 / year

We are looking for an Electrical Hardware Engineer to support the design, development, and integration of wire harness and electrical interconnect systems for humanoid robotic platforms. The ideal candidate is highly proficient in 3D CAD, detail-oriented, and comfortable working in a fast-paced startup environment with close collaboration across EE, ME, and Manufacturing teams.

30+ days ago

Applied Reinforcement Learning Engineer, Whole Body Controls, Optimus Tesla Inc

Applied Reinforcement Learning Engineer, Whole Body Controls, Optimus
Palo Alto, CA
  • $176,000–$420,000 / year

On the Whole Body Controls team, you will develop the policies and controllers that let Optimus walk, dance, balance, recover from disturbances, and manipulate objects in real-world settings - the layer of the motion stack that turns high-level intent into physically robust motion on real hardware. Preferred: hands-on experience deploying and running controllers on real robot hardware; experience with massively parallel simulation (e.g.

30+ days ago

Research Robotics/Computer Vision Engineer Skild AI

Research Robotics/Computer Vision Engineer
San Mateo

Specific duties include: (i) implementing perception on robots to enable safe exploration and navigation in real world environments in collaboration with the locomotion team; (ii) reconstructing an entire scene in 3D using monocular images, estimating camera poses, optimizing and streamlining 3D SLAM; (iii) developing a set of software tools for localization of a robot using only visual inputs; (iv) building robust software to enable life-long mapping on a robot via optimally merged pose-graphs; (v) visual servoing wrt objects detected/ tracked to control robot motion; (vi) researching novel techniques to detect and cater to glare during robotic mapping and navigation; (vii) building infrastructure and pipeline and collecting data to enable streaming of hand movements for training robot manipulation tasks such as pick and place; and (viii) maintaining a camera and 2D lidar based navigation stack, including fixing bugs, adding new customer feature requests, and ensuring successful deployments. Must have any experience with or knowledge of each of the following: (i) reconstructing 3D scenes using monocular videos, meshes, pointclouds, Neural Radiance Fields, and Gaussian Splats; (ii) reconstructing rigid and articulated hand-held objects from videos, including inferring the time-varying hand configurations and relative poses of the objects; (iii) using generative computer vision, including diffusion models to guide reconstruction, or addressing occlusion and limited viewpoint variations in videos via data driven priors; (iv) optimizing attention-based models for perception used in autonomous navigation systems; (v) using Neural Architectural Search (NAS) to find better perception backbone architectures with higher accuracies and lower latencies; and (vi) cloud-based training in AWS, Google cloud, or Vetex AI and optimized data loading for cloud based distributed training for deep learning workloads (e.g.

30+ days ago
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