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Night Shift Robotics Engineer Localization Jobs in California

Hardware Engineering is an innovative and collaborative group of electrical, mechanical ... Familiarity with 3D localization or VLM-based object detection (e.g., perception/ segmentation)

Staff Robotics Engineer

Mountain View, CA · On-site

$210K - $259K/yr

Hardware Engineering is an innovative and collaborative group of electrical, mechanical ... Familiarity with 3D localization or VLM-based object detection (e.g., perception/ segmentation)

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Night Shift Robotics Engineer Localization information

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 specializing in 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 does a Night Shift Robotics Engineer specializing in 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 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.

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Infographic showing various Night Shift Robotics Engineer Localization job openings in California as of June 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 100% Physical job distribution.

Robotics Software Engineer (Perception & Localization)

Orchard Robotics

San Francisco, CA • On-site

$130K - $190K/yr

Full-time

Medical, Dental, Vision

Posted 4 days ago


Job description

Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We're securing America’s food supply by building the AI farmer that automates our nation’s farms. We've raised over $25M in pursuit of our mission to help farmers farm more profitably and sustainably than ever before.

What We Do:

We start by building AI-powered camera systems that collect the most valuable data for farmers, telling them everything about what is growing on their millions of trees, vines, and plants, across thousands of acres of farmland.

Our state-of-the-art AI analyzes every one of the billions of fruit across a farm. We provide accurate yield estimates, fruit counts, size projections, disease detection, inventories, bloom maps, and more! All this data lives in our cloud platform, FruitScope OS, that we've developed from the ground up to enable farmers to manage their crop with precision.

Today, our technology is trusted by some of the largest farms in the nation. We are growing fast, and have the industry-leading product. Farmers use our software every day to make critical decisions and run more efficient, profitable operations.

The Role:

In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing. In addition, all of this happens fast, on compute running on the edge, in complex, real-world environments where our systems are subject to all sorts of conditions.

We are looking for a Robotics Software Engineer to invent creative, practical, and robust solutions to real-world computer vision problems relating to perception and localization.

About the role: 

  • Full-time, in-person role at our San Francisco or Seattle office

  • As an early employee, you'll receive generous equity compensation

  • Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium

  • We move fast, and sometimes this means staying late or working weekends 

  • Our team is close-knit & highly driven, you’ll work directly with our CEO and entire team

  • We’re deeply motivated by the impact we’re making – every line of code written or new system built means less food that goes to waste, and more people who are fed.

What you’ll do:

  • Develop robotics software that runs on our tractor-mounted, AI-powered camera systems, including advanced perception & localization algorithms.

  • Implement intelligent systems and processes to interpret complex, real-world data (each system collects terabytes of raw image data every day).

  • Fuse sensor data (stereo depth, GNSS, etc) to localize our camera system in a farm.

  • Optimize code for fast edge computing performance (Python, C++).

  • Be a generalist, supporting different parts of our software and hardware stack if needed.

What makes you a good fit:

  • Hands-on experience developing robotics software from the ground up.

  • 2+ years of real-world industry experience in robotics, perception, or localization.

  • Expertise in one or more of the following areas: computer vision, stereo depth perception, pose estimation, object detection, multi-object tracking, image processing, robotics software.

  • Enthusiasm for taking on multiple roles and responsibilities as our company grows.

  • You like fast-paced environments where you have high ownership over your work.

Bonus Points:

  • Experience deploying & optimizing robotics algorithms to run fast on embedded compute like NVIDIA Jetson.

  • Familiarity with fusing data from GNSS, IMU, depth, and other sensors.

If you're looking to help make a real, positive impact in the world by building the future of farming, come join us!

Compensation Range: $130K - $190K