Hybrid Bay Area Forward-Deployed Robotics Engineer

The Bronx

San Jose (CA)

Hybrid

USD 150,000 - 225,000

Full time

14 days+

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Benefits offered by this job

Salary $150k–$225k

Comprehensive benefits

Hybrid remote flexibility

Exposure to physical AI tech

High-impact role

Job summary

Scion Staffing, Inc. partners with a global technology organization to recruit a Forward Deployed Robotics Engineer for Bay Area deployments. This hybrid role involves hands-on robot integration, software development, and partner-facing consulting at local sites and remote days.

The role emphasizes robotics arms/manipulators, Python, ROS2, Linux, and AI-enabled perception with opportunities to influence platform features through close collaboration with AI developers and robotics partners.

Qualifications

Bachelor’s degree in Robotics, Mechatronics, Computer Science, Electrical Engineering, or a related field (master’s welcomed).
At least 4 years of professional experience in robotics engineering, robotic manipulation, systems integration, or related areas.
Hands-on experience with robotic arms/manipulators; mobile robotics is a plus.
Strong Python experience, ROS2 knowledge, Linux/command-line comfort; familiarity with NVIDIA technologies preferred.
Understanding of robot control, kinematics, motion planning, trajectory execution, interfaces, and integration.
At least 1 year exposure to AI/deep learning in robotics (perception, detection, pose estimation, path planning).
Strong communication and problem-solving, ability to work independently and spend time at Bay Area partner locations.

Responsibilities

Serve as the primary technical contact for AI and robotics partners, providing hands‑on support during onsite, sprint‑style integration engagements that may range from approximately two weeks to one month.
Develop and adapt production‑quality software using Python, ROS2, Linux, and command‑line tools to connect partner applications with robotic systems and interfaces.
Integrate, configure, test, and troubleshoot robotic arms and manipulators, with additional opportunities to support autonomous mobile robotics platforms.
Diagnose complex issues across software, hardware, sensors, networking, motion planning, trajectory execution, control loops, calibration, timing, and overall system performance.
Collaborate with partners to design platform capabilities, build reference implementations, create integration examples, and contribute reusable tools and technical guidance.
Support the integration of perception and learning‑based technologies—including pose estimation, path planning, object detection, and related AI models—and communicate real‑world partner feedback to internal product and engineering teams.