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Night Shift Robotics Engineer Localization Jobs in Novato, CA

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Night Shift Robotics Engineer Localization information

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$34K

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How much do night shift robotics engineer localization jobs pay per year?

As of Aug 26, 2026, the average yearly pay for night shift robotics engineer localization in Novato, CA is $123,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $149,100.00 per year, depending on experience, location, and employer.

What does a night shift robotics engineer localization do?

A Night Shift Robotics Engineer specializing in Localization is responsible for ensuring that robots can accurately determine their position and orientation within a given environment during overnight hours. This involves working with sensors, mapping algorithms, and navigation systems to help robots move and operate autonomously. Night shifts are often required in facilities that operate 24/7, such as warehouses, manufacturing plants, or research labs. The role also includes monitoring robotic systems, troubleshooting localization issues, and performing maintenance or updates as needed during off-peak hours.

What are some common challenges faced by night shift robotics engineer localization professionals, and how are they typically addressed?

Night Shift Robotics Engineer Localization professionals often encounter challenges such as troubleshooting localization errors in real-time with limited support staff available, maintaining high system uptime during off-peak hours, and ensuring seamless handovers with the day team. To address these, clear documentation practices, robust remote support protocols, and regular communication with cross-functional teams are essential. Additionally, night shift engineers often develop strong problem-solving skills and autonomy, which are highly valued for career advancement within robotics and automation fields.

What are the key skills and qualifications needed to thrive as a night shift robotics engineer localization, and why are they important?

A Night Shift Robotics Engineer in Localization requires strong proficiency in robotics systems, localization algorithms (such as SLAM), and a relevant engineering degree or equivalent experience. Familiarity with tools like ROS (Robot Operating System), sensor fusion frameworks, and programming languages like Python or C++ is commonly expected. Excellent problem-solving skills, attention to detail, and the ability to work independently during off-hours are crucial soft skills for this role. These competencies ensure reliable robot operation, effective troubleshooting, and smooth system performance during night shifts when immediate team support may be limited.

What is the difference between Night Shift Robotics Engineer Localization vs Night Shift Robotics Engineer Perception?

AspectNight Shift Robotics Engineer LocalizationNight Shift Robotics Engineer Perception
Required CredentialsBachelor's in Robotics, Electrical, or Mechanical Engineering; experience with localization algorithmsBachelor's in Robotics, Computer Vision, or related field; experience with perception systems
Work EnvironmentRobotics labs, manufacturing plants, or warehouse settings during night shiftsSimilar environments focusing on sensor data processing and object detection at night
Employer & Industry UsageAutonomous vehicle companies, logistics, and warehouse automationAutonomous vehicles, robotics research, and industrial automation

While both roles involve working with robotics during night shifts, Localization engineers focus on determining the robot's position within an environment, whereas Perception engineers work on interpreting sensor data to identify objects and surroundings. Both roles require similar technical backgrounds but differ in their core focus areas within robotics systems.

What cities near Novato, CA are hiring for Night Shift Robotics Engineer Localization jobs?

Cities near Novato, CA with the most Night Shift Robotics Engineer Localization job openings:

Lab Automation - Robotics Engineer

Xaira Therapeutics

South San Francisco, CA • On-site

Full-time

Posted 6 days ago


Job description

About the Role

We are building a next-generation lab automation and robotics platform to transform how biological experiments are executed, monitored, and scaled. This platform will bring together robotic arms, mobile platforms, lab instruments, sensors, computer vision, workflow orchestration, and AI-enabled autonomy to increase the speed, reliability, reproducibility, and scale of experimental biology.

As a Robotics Engineer, Lab Automation, you will help turn real scientific workflows into robust automated systems. You will work closely with biologists, chemists, automation engineers, software engineers, and robotics experts to understand manual laboratory processes and translate them into reliable robotic execution.

This is a hands-on engineering role for someone who enjoys building, integrating, testing, and debugging physical systems. You will contribute to robotic manipulation, instrument integration, perception, task execution, simulation, and multi-station lab automation workflows. You will also have opportunities to grow into more advanced robotics, autonomy, and AI-enabled laboratory automation over time.

What You'll Do

  • Build, integrate, and maintain robotics software for robotic arms, mobile robots, sensors, grippers, and laboratory automation devices.
  • Develop motion planning, manipulation, perception, and safety logic for robotic systems operating in real laboratory environments.
  • Integrate laboratory instruments and devices through APIs, IoT interfaces, schedulers, and custom control software.
  • Help build task execution frameworks using state machines, behavior trees, planners, and recovery logic for autonomous or semi-autonomous lab workflows.
  • Benchmark and integrate computer vision methods for object detection, segmentation, tracking, pose estimation, localization, and scene understanding.
  • Create and use simulation or digital twin environments for motion validation, workflow testing, synthetic data generation, and system debugging.
  • Collaborate with scientists to translate biological and chemical workflows into automated protocols.
  • Support multi-station system integration, automated material handling, sample tracking, validation, logging, and error recovery.
  • Work hands-on with physical hardware to debug real systems, improve reliability, and iterate quickly.
  • Evaluate modern AI, autonomy, foundation-model, reinforcement-learning, or imitation-learning approaches where they can improve real robotic lab execution.

Qualifications (Required):

  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or related field. 
  • Recent graduates with strong robotics, automation, hardware/software integration, or relevant project experience are encouraged to apply.
  • PhD candidates are welcome to apply, particularly if they are excited by hands-on robotic system building, integration, and lab automation.
  • Strong software engineering skills in one or more modern programming languages (e.g., Python, C++, C#), cloud-based workflows, and production software systems.
  • Familiarity with robotics software frameworks such as ROS2, MoveIt, or comparable tools.
  • Familiarity with computer vision, perception, motion planning, robotic manipulation, or sensor integration.
  • Comfort working with physical hardware, debugging real systems, and learning by doing.
  • Strong problem-solving skills, attention to detail, and ability to work across disciplines.
  • Ability to communicate clearly with scientists, automation engineers, software engineers, and robotics experts.

Preferred Qualifications:

  • Experience with 6-axis robotic arms, autonomous mobile robots, grippers, machine vision systems, or automated material handling.
  • Experience with OpenCV, object detection, segmentation, tracking, pose estimation, SLAM, localization, or scene understanding.
  • Experience with Foxglove, Isaac Sim, MuJoCo, Gazebo, or other robotics simulation and debugging tools.
  • Experience integrating laboratory instruments such as liquid handlers, plate hotels, incubators, readers, and microscopes.
  • Experience with agentic AI frameworks (LangGraph, OpenAI Agents SDK, AutoGen, PydanticAI), Model Context Protocol (MCP), or AI systems that integrate language models with external tools and software.
  • Familiarity with biological or chemical assays such as PCR, gel electrophoresis, DNA quantification, microscopy, high-throughput screening, or cell-based assays.
  • Experience with CAD, 3D printing, laser cutting, CNC machining, or rapid prototyping.
  • Exposure to GPU-accelerated inference (CUDA, TensorRT, ONNX), edge deployment, foundation models, reinforcement learning, imitation learning, behavior trees, autonomous task planning, or agentic robotics systems.

What We Offer:

  • The opportunity to help build a state-of-the-art automated biology laboratory from the ground up.
  • Hands-on experience developing robotic systems for high-throughput, data-generating biological labs.
  • Exposure to robotics, lab automation, data infrastructure, and AI-enabled experimental systems.
  • Structured mentorship from experienced robotics, automation, software, and scientific leaders.
  • The opportunity to work with a passionate, interdisciplinary team on ambitious drug discovery projects.
  • A dynamic, innovative, and supportive work environment.
  • Professional growth and development opportunities in a rapidly growing company.

Compensation
We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $150,000 - $180,000 annually; however, the base pay offered will vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.