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1.76 Robotics Engineer - Multi-Robot SLAM Job Opening In Pittsburgh – Now Hiring Field AI


Job description


Field AI is transforming how robots interact with the real world.

We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence.

We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

Are you the kind of engineer who gets excited turning messy research code into robust, testable, field-deployable systems?

Do you thrive working across perception, planning, and control pipelineswriting clean interfaces, debugging sensor drivers, and building the tools researchers depend on?

Field AI is looking for a Research Engineer to join our mission to develop risk-aware, reliable, and field-ready AI for autonomous robots.

Youll work across the stackfrom edge-AI platforms to distributed simulation and cloud toolsenabling cutting-edge autonomy to transition from prototype to production.

Whether its building data pipelines for multi-sensor rigs, optimizing real-time systems under hardware constraints, or designing execution layers, youll play a critical role in scaling our systems to real-world complexity.

What You'll Get To Do

  • Build Core Robotics Infrastructure
  • Develop robust middleware and tooling for ROS/ROS2-based multi-agent autonomy systems.
  • Own sensor driver integration (LiDAR, IMU, cameras, GNSS, etc.) across embedded and Linux platforms.
  • Architect software interfaces that make it easy to connect perception, planning, and control modules.

  • Support Real-World Autonomy at Scale
  • Design scalable logging, debugging, and visualization tools for live and offline analysis.
  • Develop automated test harnesses and CI pipelines for simulation and hardware-in-the-loop testing.
  • Create launch systems and configuration management for large-scale field deployments.

  • Work Across the Full Stack
  • Help bring up new robotic platformsworking closely with mechanical and electrical engineers to integrate compute, sensors, and actuators.
  • Write high-performance, low-latency code for real-time decision-making systems.
  • Support cloud-based infrastructure for simulation, data processing, and model deployment.

  • Collaborate with Research and Product Teams
  • Work alongside scientists and ML engineers to bring cutting-edge algorithms into production.
  • Build abstractions that make it easier for teams to run experiments, log results, and ship features.
  • Contribute to system design discussions with a strong engineering perspective focused on reliability, modularity, and observability.

What You Have

  • Bachelors or Masters degree in Computer Science, Robotics, Electrical Engineering, or a related field.
  • 3+ years of experience building complex robotics or distributed systems software.
  • Strong proficiency in Python and C++ (ideally modern C++ standards).
  • Experience with ROS2 or similar robotic middleware systems.
  • Deep familiarity with Linux-based development, networking, and real-time system constraints.
  • Experience integrating hardware and software on robotic platforms.
  • Comfort working across embedded, edge, and cloud compute environments.
  • Obsession with code quality, system robustness, and operational excellence.

What Will Set You Apart

  • Experience working on autonomous robots (ground, aerial, or marine) in field environments.
  • Knowledge of containerization, orchestration, and deployment tools (Docker, Kubernetes, etc.).
  • Background in systems programming, real-time operating systems, or safety-critical codebases.
  • Experience managing high-bandwidth data streams and synchronized multi-sensor systems.
  • Familiarity with distributed simulation, digital twins, or photorealistic rendering systems.
  • Exposure to mission execution layers, behavior trees, or fault-tolerant autonomy frameworks.
Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.


Why Join Field AI?
We are solving one of the worlds most complex challenges: deploying robots in unstructured, previously unknown environments.

Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking.

With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions.

Were seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise.

Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

We are headquartered in always-sunny Mission Viejo (Irvine adjacent), Southern California and have US based and global teammates.


Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!



We celebrate diversity and are committed to creating an inclusive environment for all employees.

Candidates and employees are always evaluated based on merit, qualifications, and performance.

We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.





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Required Skill Profession

Engineers


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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Field AI adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Pittsburgh. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for 1.76 Robotics Engineer Multi Robot SLAM typically include Engineers and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for 1.76 Robotics Engineer Multi Robot SLAM Job Success

Field AI interview tips for 1.76 Robotics Engineer   Multi Robot SLAM

Here are some tips to help you prepare for and ace your 1.76 Robotics Engineer Multi Robot SLAM job interview:

Before the Interview:

Research: Learn about the Field AI's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your 1.76 Robotics Engineer Multi Robot SLAM interview at Field AI, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Field AI's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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