Sensor Systems Engineer-Federal

FieldAI; Pittsburgh (Allegheny County); On-site; USD 70,000 - 300,000; Full time

Benefits offered by this job

Full benefits

Equity

Flexible working hours

Job summary

FieldAI is seeking a Sensor Systems Engineer in Pittsburgh to support the design and development of autonomous robotic systems. This role involves integrating and validating various sensors in demanding environments. Ideal candidates will have a degree in Robotics or Engineering and hands-on experience with sensors like LiDAR and GPS. The position offers a salary range of $70,000-$300,000, emphasizing on-site collaboration and a commitment to diversity.

Qualifications

• Experience with perception sensors like LiDAR, depth cameras, IMUs, GPS.
• Cross-functional collaboration experience across electrical, mechanical, and software teams.
• Hands-on testing, calibration, and debugging skills.

Responsibilities

• Contribute to the design, integration, calibration, and validation of sensing systems.
• Evaluate sensor performance under real-world conditions.
• Develop QA checks for incoming sensor units.

Skills

Hands-On Sensors Experience

Systems Thinking

Sensor Physics

Lab Skills

Communication Protocols

Education

B.S., M.S. or Ph.D. in Robotics, Electrical Engineering, Engineering Physics, Physics or related field

Tools

ROS/ROS2

LiDAR

depth cameras

Job description

Who are We?

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.

About the Job

At FieldAI, we build autonomous robotic systems that operate in demanding, real‑world environments where tight integration between hardware and software is critical. We’re looking for a Sensor Systems Engineer to support system and component level design, integration, and validation for sensing systems on wheeled robotic platforms across both federal and commercial programs.

Sensor Systems Role

As a Perception Systems Engineer on the Federal Team, you will contribute to the design, integration, calibration, and validation of the sensing and compute systems that underpin our autonomy stack. You will work with a diverse array of sensors—LiDARs, depth cameras, IMUs, GPS, and more—ensuring each one delivers accurate, time‑synchronised, and spatially consistent data in a range of environments and operating conditions. You will collaborate closely with the autonomy, compute, electrical, and mechanical teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on sensors you will likely contribute across all hardware domains.

What You Will Get To Do

1. Sensor System Design

• Sensor Architecture: Work across hardware and software teams to define sensing requirements. Identify, test, and select sensors such as LiDARs, depth cameras, GPS, IMUs, ToF, and other devices.

• Systems Integration: Integrate sensors with electrical (USB, Ethernet, I2C, CAN, GMSL), mechanical (mounts, jigs, isolation), and software (configurations, drivers, ROS nodes) systems, ensuring power, thermal, and protocol compatibility.

• Spatial Performance: Architect system to meet spatial sampling performance requirements including spatial coverage, range, resolution, and transform accuracy.

• Temporal Performance: Implement and validate synchronization strategies, triggering schemes, timestamp encoding, and end‑to‑end latency minimisation.

2. Sensor System Implementation

• Performance Characterisation: Evaluate sensor performance (spatial resolution, temporal drift, EMI noise, sync errors, etc.). Test under real‑world environmental conditions (vibration, lighting, moisture, temperature).

• Calibration: Design and execute both intrinsic and extrinsic calibrations. Build alignment rigs and calibration boards as needed.

• Optimization: Tune sensor configurations (exposure, gain, filtering, frame rate, etc.) and processing pipeline (filtering, etc.) for optimal performance.

• Documentation: Create timing diagrams, sensor maps, coordinate transforms, and maintain all configuration files, launch scripts, driver references, and firmware states.

3. Sensor System Production & Servicing

• Build: Work with vendors to procure sensors. Develop QA checks for incoming units. Support payload integration and manufacturing at scale.

• Debug: Conduct root cause analysis of sensor systems including issues across hardware and software boundaries.

• Monitor: Develop protocols for monitoring the sensing system health, data quality, and calibration status during field deployments.

What You Have

• Education: B.S., M.S. or Ph.D. in Robotics, Electrical Engineering, Engineering Physics, Physics, or a related field.

• Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers.

• Hands‑On Sensors Experience: Hands‑on work with perception sensors such as LiDAR, depth cameras, IMUs, GPS.

• Systems Thinking: Cross‑functional collaboration experience across electrical, mechanical, and software teams.

• Sensor Physics: Strong foundation in optics, signal processing, and electromagnetic wave propagation.

• Lab Skills: Hands‑on testing, calibration, and debugging skills (oscilloscopes, logs, vibration/thermal setups).

• Communication Protocols: Experience with protocols such as USB, Ethernet, GMSL, CAN, I2C, and CSI.

• Computer & Software: Experience working with ROS/ROS2, sensor drivers, coordinate transforms (TF), and timing protocols (PTP, NTP, etc.).

• Timing & Triggers: Experience with timestamping, synchronization, triggering, and latency constraints.

• Calibration & Characterisation: Experience designing and executing intrinsic, extrinsic, and temporal calibrations, and sensor characterization under real‑world environmental conditions.

• Simulation: Experience with high‑fidelity simulation environments (Gazebo, Isaac Sim, RViz) for sensor modelling.

What Will Set You Apart

• Scaling: Experience taking systems from prototype to large scale production.

• Field Environments: Experience developing systems for harsh field environments.

• Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedised robots.

• Systems Level Robotics: Fluency across software, electrical, and mechanical systems.

• Autonomy Software: Knowledge of autonomy stacks used in robotics and how sensor performance impacts autonomy algorithms.

$70,000 – $300,000 a year

This position is for our FieldAI Federal Team. This team works on projects connected to the U.S. government which requires U.S. Person eligibility. A U.S. Person as defined by 22 C.F.R §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee.

Compensation

The salary range for this role is $70,000-$300,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.

Field AI Onsite Work Philosophy

At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In‑person engagement is essential to our success, and we offer flexible working hours to support focus and work‑life balance.

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.