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MTS, Robotics Engineer; AI

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: SiMa Technologies, Inc.
Full Time position
Listed on 2025-12-01
Job specializations:
  • Engineering
    Robotics, AI Engineer, Embedded Software Engineer
Salary/Wage Range or Industry Benchmark: 200000 - 274600 USD Yearly USD 200000.00 274600.00 YEAR
Job Description & How to Apply Below
Position: MTS, Robotics Engineer (AI2402)

Job Title: MTS, Robotics Engineer

Job Location:
San Jose, CA


Job

Job Description:

We are seeking an exceptional
Member of Technical Staff, Robotics Engineer
to join our cutting-edge Robotics and AI team. The ideal candidate brings deep, hands-on experience in autonomous mobile robots (AMRs), aerial drones, and, ideally, humanoid robots. You will play a strategic and technical leadership role in developing intelligent, autonomous systems across various platforms.

This role requires a strong foundation in
embedded systems
, a solid grasp of
neural networks and AI
, and an up-to-date understanding of advancements in
Generative AI (GenAI). Expertise in
Lidar-based SLAM
and
Visual SLAM
is critical for success in this role.

Key Responsibilities:

  • Lead architecture, design, and development of software and hardware systems for AMRs, drones, and/or humanoid robots.
  • Develop and deploy perception, localization, and navigation systems using
    Lidar-based and Visual SLAM
    techniques.
  • Design real-time embedded systems to interface with sensors, actuators, and compute platforms (e.g., ARM, DSPs, FPGAs).
  • Integrate
    deep learning models
    for object detection, motion planning, behavior prediction, and scene understanding.
  • Contribute to or lead R&D efforts related to
    Generative AI
    and its applications in robotics.
  • Collaborate with cross-functional teams including mechanical, electrical, and AI scientists to deliver complete solutions.
  • Evaluate and integrate sensors such as cameras, IMUs, LIDARs, and ultrasonic systems for 360° situational awareness.
  • Mentor junior engineers and provide strategic input into long-term robotics and AI vision.

Required Qualifications:

  • Master’s or Ph.D. in Robotics, Computer Engineering, Electrical Engineering, or a related field.
  • 10+ years of experience in robotics systems design, with a focus on
    AMRs and/or drones
    .
  • Proficiency inC/C++, Python
    , and ROS/ROS2 frameworks.
  • Proven experience with
    SLAM systems
    , both Lidar-based (e.g., Cartographer, LOAM) and visual (e.g., ORB-SLAM, OpenVSLAM).
  • Hands-on expertise with
    embedded systems
    , RTOS, and board-level debugging.
  • Solid understanding of
    deep learning frameworks
    (e.g., PyTorch, Tensor Flow) and their deployment on edge devices.
  • Familiarity with
    Generative AI models
    (e.g., transformers, diffusion models) and how they are shaping future intelligent systems.
  • Experience with humanoid robotics is a strong plus.

Preferred

Skills:

  • Experience with
    hardware-in-the-loop (HIL)testing and simulation platforms (e.g., Gazebo, Isaac Sim).
  • Knowledge of real-time computer vision, 3D mapping, and autonomous decision-making.
  • Familiarity with safety, compliance, and fail-safe system design for autonomous platforms.
  • Contributions to open-source robotics or AI projects.
  • Demonstrated innovation through patents or publications.

Personal attributes:

Can-do attitude. Strong team player. Curious, creative, and good at solving problems. Execution and results oriented. Self-driven, Thinks Big and is highly accountable. Good communication skills.

The annual salary for this position ranges from $200,000 - $274,600. The actual annual salary paid for this position will be based on several factors, including but not limited to, skills, prior experiences, qualifications, expertise, work location, total target compensation, training, company needs, and current market demands. The annual salary range for this position is subject to change and may be adjusted in the future.

EEO

Employer:

SiMa is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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