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Night Shift Robotics Engineer Localization Jobs in Boston, MA

Superintendent -Night Shift Job Details Responsibilities * Oversee and manage night shift ... Four-year degree in Engineering or Construction Management (or equivalent experience) preferred.

Superintendent - Night Shift

Boston, MA · On-site

$130K - $180K/yr

Superintendent -Night Shift Job Details Responsibilities * Oversee and manage night shift ... Four-year degree in Engineering or Construction Management (or equivalent experience) preferred.

Senior Engineer

Boston, MA · On-site +1

$190K - $244K/yr

Senior Engineer (Autonomy - Localization). Ref. No. N270 BOSTON - REMOTE U.S. ONLY FULL-TIME What ... Three years of experience in software development for autonomous robotics. * Experience must ...

Provide feedback on robot performance and usability * Assist engineering teams in identifying ... Experience working in shift-based environments * Familiarity with multi-monitor workstations Why ...

Senior Engineer

Boston, MA · Remote

$190K - $244K/yr

Senior Engineer (Autonomy - Localization). Ref. No. N270 BOSTON - REMOTE U.S. ONLY FULL-TIME What ... Three years of experience in software development for autonomous robotics. * Experience must ...

Provide feedback on robot performance and usability * Assist engineering teams in identifying ... Experience working in shift-based environments * Familiarity with multi-monitor workstations Why ...

Provide feedback on robot performance and usability * Assist engineering teams in identifying ... Experience working in shift-based environments * Familiarity with multi-monitor workstations Why ...

Provide feedback on robot performance and usability * Assist engineering teams in identifying ... Experience working in shift-based environments * Familiarity with multi-monitor workstations Why ...

Showing results 41-60

Night Shift Robotics Engineer Localization information

See Boston, MA salary details

$31.5K

$114.7K

$183.6K

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

As of Aug 7, 2026, the average yearly pay for night shift robotics engineer localization in Boston, MA is $114,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $138,000.00 per year, depending on experience, location, and employer.

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 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 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 Boston, MA are hiring for Night Shift Robotics Engineer Localization jobs? Cities near Boston, MA with the most Night Shift Robotics Engineer Localization job openings:
Infographic showing various Night Shift Robotics Engineer Localization job openings in Boston, MA as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $114,729 per year, or $55.2 per hour.

Sr. Robotics Software Engineer, System Integration

FieldAI

Boston, MA • On-site

$115K - $170K/yr

Full-time

Re-posted 6 days ago


Job description

FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.
FieldAI is seeking passionate engineers to play a vital role in the development of our humanoid robot software stack. You will work with a focused team in a fast-paced environment to integrate perception, planning, locomotion, and manipulation subsystems into a single cohesive system that runs reliably on real hardware in unstructured, real-world environments. A core part of this role will be working with integrating and graduating research-grade capabilities into robust, production-quality systems. The ideal candidate will have a strong understanding of robotic software systems and the practical skills to deliver high-quality, maintainable code on a small, focused team.
What You'll Get To Do
  • Develop and maintain the core software framework that composes perception, planning, locomotion, and manipulation into a deployable system on humanoid platforms.
  • Define and enforce subsystem interfaces, communication patterns, and data contracts for reliable, independent module development.
  • Own system bring-up, sensor calibration, and validation workflows for new sensor/platform revisions and configurations.
  • Partner with research engineers to take algorithms from prototype to production-quality, tested, maintainable code.
  • Identify and close reliability gaps with fault handling, performance budgets, integration/regression tests, and hardware validation.
  • Build repeatable "graduation" pipelines so new capabilities land without breaking existing functionality.
  • Design and run end-to-end integration tests across hardware and simulation.
  • Build tooling for automated diagnostics, telemetry, and post-run analysis to speed up debugging.
  • Coordinate integration milestones across teams, flag risks early, and keep the system continuously shippable.
  • Profile and optimize latency, throughput, and memory on embedded platforms under real-time constraints.
  • Harden the stack against real-world failure modes (sensor dropouts, comms loss, thermal throttling, degraded modes).
  • Implement runtime monitoring and health checks so the robot can detect, log, and recover from faults autonomously.

What You Bring
  • Bachelor's or Master's in Computer Science, Robotics, Electrical Engineering, or a related field (or equivalent industry experience).
  • 7+ years hands-on experience developing and integrating robotics software, including work on physical hardware.
  • Strong C++ and Python proficiency with modern best practices; able to work in large, multi-language codebases.
  • Strong understanding of ROS/ROS2 and experience designing, building, and deploying nodes in complex robotic systems.
  • Solid understanding of real-time systems, inter-process communication, and resource-constrained embedded compute environments.
  • Experience hardening research/prototype code into production-quality software with testing and fault handling.
  • Strong problem-solving skills, attention to detail, and ability to work independently while managing multiple priorities.
  • Strong work ethic, self-motivated, and excellent written/verbal communication skills.

What Will Set You Apart
  • Experience with humanoid robots, legged locomotion platforms, or complex dexterous manipulation systems.Familiarity with motion planning, whole-body control, or contact-rich manipulation pipelines.
  • Experience working with computationally constrained platforms and designing efficient, real-time software with low overhead.
  • Background in CI/CD, automated testing, and release engineering for robotics software.
  • Contributions to open-source robotics frameworks or tools.
  • Experience deploying robots in unstructured, real-world environments (construction, logistics, manufacturing, mining, defense).

$115,000 - $170,000 a year
Why Join Field AI?
FieldAI is tackling one of robotics' hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most.
You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.
Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally.
Be Part of the Next Robotics Revolution
Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.
We are headquartered in Mission Viejo (Irvine adjacent), Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world.
Equal Opportunity
FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.