About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Services for Renewable Energy.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Role overview

Confidential Client is developing X‑Caddie, an autonomous mobile energy‑storage and EV‑charging robot. We’re hiring a Robotics Software Engineer to design, implement, and optimize autonomy software for an on‑site, safety‑critical AMR operating around pedestrians, vehicles, and dynamic obstacles. This is a full‑time, on‑site role in Saratoga, CA with occasional travel to local test sites.

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What you will do

• Collaborate with robotics, controls, embedded‑software, and hardware teams to add capabilities to the autonomy stack while respecting the independent safety layer.
• Validate algorithms in simulation and on hardware; analyze performance and iterate quickly.
• Write and maintain production‑quality code in C++ and/or Python within a ROS2‑based system.
• Work toward robust, safe operation in semi‑structured environments (parking lots, campuses) and contribute to safety architecture and certification efforts.
• Own features from prototype to deployment and support fleet validation and tuning.

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Areas of focus (pick one or more)

• Perception: camera + LiDAR object detection, classification, semantic segmentation, multi‑object tracking, anomaly detection tuned for low‑speed, pedestrian‑rich settings.
• Localization & state estimation: multi‑sensor fusion (LiDAR, IMU, wheel odometry), drift detection, and robust pose estimation in feature‑sparse parking structures.
• Motion planning & navigation: global/local planning, decision making, recovery behaviors (ROS2 / Nav2).
• Precision docking: high‑accuracy alignment for automated charging robust to real‑world variation.
• Performance & GPU optimization: optimize perception and robotics pipelines (including custom CUDA kernels) for Jetson‑class hardware.
• Tuning, configuration & validation: design simulation scenarios, tune parameters (safety distances, speed limits, cost weights), and validate against ground truth on hardware.
• ML infrastructure: data collection, model training/evaluation, and fleet‑scale monitoring pipelines.

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Qualifications

• Bachelor’s, Master’s, or PhD in Robotics, Computer Science, EE/ME, AI/ML, or related field — or equivalent hands‑on experience. Depth of practical autonomous‑systems work is valued over degree title.
• Strong foundation in robotics algorithms: sensor fusion, state estimation, perception, and planning.
• High proficiency in C++ and Python; experience writing performance‑sensitive, real‑time code.
• Experience with ROS2 (and Nav2) strongly preferred.
• Experience optimizing for embedded GPUs (NVIDIA Jetson), CUDA kernel development and profiling is a strong plus.
• Familiarity with deep‑learning frameworks (PyTorch, TensorFlow) for perception‑oriented roles.
• Comfortable working cross‑functionally in a fast‑paced environment and driving solutions from prototype to deployed hardware.
• Employment is contingent on verification of eligibility to work in the United States.

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Compensation & benefits

• Base pay: $110,000 to $180,000 per year. Pay may vary based on job‑related knowledge, skills, and experience. (This posting complies with California pay transparency requirements.)
• Benefits include Health, Dental & Vision insurance, Paid Time Off (PTO), and paid public holidays.
• Opportunity to work on a high‑impact product in the renewable energy / mobile charging space with a strong engineering culture.

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Location & logistics

• This is a full‑time, on‑site position based in Saratoga, CA. Occasional travel to local test sites is expected.
• Confidential Client and Careertakes will consider reasonable accommodations for applicants with disabilities during the application and interview process. If you need an accommodation, please notify us.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.