ZipRecruiter

Log In

Field AI
Field AI

60 Fieldai Senior Software Engineer Jobs Hiring Near You

FieldAI

Robotics Autonomy Engineer - Federal

Irvine, CA · On-site

$140K - $160K/yr

Serve as the voice of the customer, bringing field insights back to engineering and product teams. * Collaborate across software, hardware, and AI research groups to deliver integrated solutions.

FieldAI

Robotics Autonomy Engineer - Federal

Irvine, CA · On-site

$140K - $160K/yr

Serve as the voice of the customer, bringing field insights back to engineering and product teams. * Collaborate across software, hardware, and AI research groups to deliver integrated solutions.

FieldAI

Robot Autonomy Engineer-Federal

Irvine, CA · On-site

$70K - $120K/yr

Serve as the voice of the customer, bringing field insights back to engineering and product teams. * Collaborate across software, hardware, and AI research groups to deliver integrated solutions.

FieldAI

Robotics Autonomy Engineer - Federal

Irvine, CA · On-site

$140K - $160K/yr

Serve as the voice of the customer, bringing field insights back to engineering and product teams. * Collaborate across software, hardware, and AI research groups to deliver integrated solutions.

previous page

Showing results 41-60

All JobsFieldai JobsFieldai Senior Software Engineer Jobs

Field AI Jobs Information

What other companies are hiring for Senior Software Engineer jobs?

What are the most popular jobs at Fieldai?

What are the most popular categories at Fieldai?

Sr. Software Engineer, Multiagent Simulation

FieldAI

Boston, MA • On-site

Full-time

Re-posted 2 days ago

Job description

Job Summary:
FieldAI is transforming how robots interact with the real world, focusing on developing risk-aware, reliable AI systems for robotics. They are seeking a Senior Software Engineer to develop multi-robot simulation environments and fleet orchestration strategies, ensuring realistic coordination and performance validation before deployment.
Responsibilities:
• Architect high-fidelity multi-robot simulation scenes (terrain, sensors, dynamic obstacles) and scale from single-agent tests to fleet scenarios.
• Integrate physics, perception, and comms models so agents behave realistically at fleet scale.
• Implement and evaluate fleet-level task allocation, coordination, and planning inside simulation.
• Build declarative mission tooling to run thousands of orchestration experiments and profile performance across latency, heterogeneity, and environment complexity.
• Calibrate simulation to real-world telemetry with field teams and reduce the sim-to-real gap.
• Build domain randomization, scenario generation, and automated regression/benchmark gates for fleet orchestration releases.
• Design logging, metrics, and visualization so every run yields actionable data and fleet KPIs (throughput, collisions, comms overhead, idle time).
• Maintain reproducible experiment infrastructure with versioned scenes, configs, and results.
• Partner with perception, planning, learning, DevOps, and infrastructure teams to run large-scale simulation and raise standards for fidelity, coverage, and release quality.
Qualifications:
Required:
• MS or PhD in Computer Science, Robotics, Aerospace, or a related field (or equivalent industry experience).
• 7+ years hands-on experience building simulation environments for robotics or autonomous systems.
• Proficiency in Python and C++; comfort reading and extending large codebases.
• Working knowledge of robotics simulation engines (e.g., MuJoCo, NVIDIA Isaac Sim, Genesis).
• Experience with multi-robot or multi-agent systems: task allocation, distributed planning, swarm coordination, or fleet management.
• Familiarity with standard robotics middleware.
• Strong problem-solving skills and ability to thrive in fast-paced, interdisciplinary teams.
• Ability to translate research into practical, field-deployable systems.
Preferred:
• Publications or open-source contributions in multiagent systems, multi-robot planning, or fleet coordination (ICRA, RSS, IROS, AAMAS, CoRL).
• Experience with domain randomization, synthetic data generation, or sim-to-real transfer at scale.
• Background in distributed systems or cloud-based simulation orchestration.
• Hands-on work with real robot fleets in field environments (e.g., construction, mining, logistics, defense).
• Contributions to open-source robotics or simulation frameworks.
Company:
FieldAI is building general robot intelligence for the physical world. Founded in 2023, the company is headquartered in Mission Viejo, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Apply