---
title: 'Senior Software Engineer, MLOps at FieldAI'
canonical: 'https://feeny.ai/job/senior-software-engineer-mlops-fieldai-irvine-k9fpa8zn17w7'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Software Engineer, MLOps at FieldAI

- **Company:** FieldAI
- **Location:** Irvine, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-03-16
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.lever.co/field-ai/67b9519e-b0a1-45f1-b85f-9dcff39c9851

## 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. We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle of machine learning systems used in robotics applications. You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize machine learning in real-world robotic systems within a fast-growing and dynamic environment.

## What You Will Get To Do

- Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data processing, training, evaluation, inference and deployment workflows.

- Collaborate closely with robotics teams to implement model serving infrastructure for edge/robot deployment.

- Build tools and automation to support reproducible experiments, model versioning, and dataset management.

- Deploy and manage ML services and inference pipelines using containerized environments for efficient scaling and scheduling of heterogeneous compute resources.

- Monitor model performance and system reliability across development and production environments.

- Improve the efficiency, scalability, and reliability of ML workflows and infrastructure.

- Work with cross-functional engineering teams to integrate ML components into robotics software systems.

## What You Have

- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).

- 3-7 years of experience in MLOps, machine learning infrastructure, or related engineering roles.

- Strong programming skills in Python or similar languages.

- Experience building and maintaining machine learning pipelines.

- Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ML services), Kubernetes etc.,

- Solid understanding of Linux systems and distributed computing environments.

- Experience with GPU workload scheduling and orchestration across multi-region cloud environments.

- Excellent problem-solving skills and the ability to work collaboratively in a team environment.

What Will Set You Apart

- Experience deploying and operating ML systems for robotics or real-world physical systems.

- Experience with scaling AI, ML, and inference workloads on Kubernetes.

- Exposure to ROS-based robotics data formats and pipelines (rosbags, point clouds)

- Experience with experiment tracking, model versioning, or dataset versioning tools.

- Experience optimizing ML pipelines for large-scale training and data processing.

- Experience working closely with research or applied machine learning teams.

## Compensation and Benefits

Our salary range is competitive with the market, but 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.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Why Join Field AI? We are solving one of the world’s 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. We’re 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 Irvine, 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.

## About FieldAI

## Company Overview
- **One-liner**: FieldAI is building the first risk-aware, physics-first foundation model (the Field Foundation Model) that makes robots autonomous in complex, unstructured, and safety-critical real-world environments.
- **Entity Type**: Private (latest funding: Venture Round / Corporate Round; total funding ~$497M)
- **Headquarters**: Irvine, California, United States (with an office in Mission Viejo)
- **Founded**: 2023 (originally known as "AI for Humanity")
- **Founders**: Dr. Ali Agha (CEO) – former NASA JPL Principal Investigator and DARPA challenge winner; Dr. Shayegan Omidshafiei (President & Chief Scientific Officer) – former DeepMind Research Scientist

## Core Business
- **Primary industry**: Robotics Engineering / Artificial Intelligence (Embodied AI)
- **Target customers**: B2B, Enterprise, Government / Federal agencies, Commercial field operators (construction, industrial, urban operations, mission-critical)
- **Mission / purpose**: "Deploy autonomous robots at scale in any unstructured environment" without reliance on GPS, maps, or pre-trained routes.

## Products & Services
- **[Field Foundation Model (FFM)](https://www.fieldai.com/careers)**: An AI platform that acts as the "general-purpose brain" for robots. It combines data-driven learning with physics-based methods, assesses uncertainty, establishes risk, and adapts autonomously in field conditions. Works across any robot type and continuously improves through a virtuous data flywheel.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric (Total Funding)**: ~$497M across multiple rounds (Seed: $91M, Venture rounds, Corporate round led by Hyundai Motor Group, Series A: $980K led by Temasek Holdings and Prysm Capital) [[linkedin.com](https://www.linkedin.com/company/fieldai)] [[cbinsights.com](https://www.cbinsights.com/company/field-ai)]
- **Notable Investors / Partners**: Hyundai Motor Group (corporate round lead), Temasek Holdings, Prysm Capital, plus other visionary institutions.
- **Growth Signals**:
  - Headcount of 217 employees (+227.8% YoY) [[linkedin.com](https://www.linkedin.com/company/fieldai)]
  - LinkedIn followers grew +580.4% in the last year (51,728 total) [[linkedin.com](https://www.linkedin.com/company/fieldai)]
  - Technology deployed globally for a decade – from 900 feet underground to advanced commercial, federal, and mission-critical operations [[fieldai.com/careers](https://www.fieldai.com/careers)]
  - Won segments of the DARPA Subterranean Challenge (Urban phase) [[fieldai.com/team](https://www.fieldai.com/team)]

## Competitive Advantages
- **First risk-aware, physics-first foundation model** – unlike pure data-driven or transformer-only approaches.
- **Field-proven reliability** – systems work without GPS, maps, or pre-programmed routes, and dynamically adapt to uncertainty.
- **Virtuous data flywheel** – each deployment increases model reliability across the entire fleet.
- **Exceptional team** – drawn from DeepMind, NASA JPL, Boston Dynamics, Nvidia, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX [[fieldai.com/team](https://www.fieldai.com/team)]
- **Strong IP & DARPA pedigree** – led by veterans who have shaped the field of autonomous robotics for nearly two decades.

## Strategic Focus
- **Scale deployment** of the Field Foundation Model across commercial, industrial, and federal sectors.
- **Expand federal division** (FieldAI Federal) led by former DARPA PM and Toyota Research Institute exec Dr. Eric Krotkov [[fieldai.com/team](https://www.fieldai.com/team)]
- **Hire top-tier talent** in embodied AI, software engineering, robotics hardware, and field operations to accelerate product development and real-world impact [[fieldai.com/careers](https://www.fieldai.com/careers)]

## Why Work Here
- **Impact**: Directly shape how intelligent systems operate in the real world – from underground mines to urban search-and-rescue.
- **Culture**: "Creativity, resilience, and bold thinking" – a supportive environment that encourages pushing beyond conventional methods [[fieldai.com/careers](https://www.fieldai.com/careers)].
- **Team**: Work alongside world-class researchers and engineers from DeepMind, NASA JPL, Boston Dynamics, and leading autonomy companies.
- **Resources**: Backed by over $100M in funding with strong institutional support – rapid execution and fast-paced growth.
- **Work model**: Likely office-centric given the hardware/robotics focus; headquarters in Irvine, CA, with a distributed presence across 9 countries (US, India, Singapore, Japan, Spain, etc.) [[linkedin.com](https://www.linkedin.com/company/fieldai)].
- **Perks / recognition**: Rated 4.5/5 on employer reviews (16 reviews), with top marks for Culture (4.3) and Career (4.4) [[linkedin.com](https://www.linkedin.com/company/fieldai)].

## Sources
1. [fieldai.com/careers](https://www.fieldai.com/careers)
2. [linkedin.com/company/fieldai](https://www.linkedin.com/company/fieldai)
3. [fieldai.com/team](https://www.fieldai.com/team)
4. [cbinsights.com/company/field-ai](https://www.cbinsights.com/company/field-ai)
5. [jobs.lever.co/field-ai](https://jobs.lever.co/field-ai)

## Other roles at FieldAI

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- [Project Engineer - Field Application Engineering](https://feeny.ai/job/project-engineer-field-application-engineering-fieldai-london-q6k0xv5d0s3p) — London, United Kingdom
- [Field Application Engineer - Fixed term - Full - time - Sapporo, Hokkaido](https://feeny.ai/job/field-application-engineer-fixed-term-full-time-sapporo-hokkaido-fieldai-sapporo-smy67kjjz6tm) — Sapporo, Japan
- [Field Application Engineer - London, UK](https://feeny.ai/job/field-application-engineer-london-uk-fieldai-london-b415kz93esj8) — London, United Kingdom
- [Robotics Autonomy Engineer-Planning and Control - Federal](https://feeny.ai/job/robotics-autonomy-engineer-planning-and-control-federal-fieldai-irvine-00k3zqwx5qa7) — Irvine, CA
- [Software Integration Engineer - Federal](https://feeny.ai/job/software-integration-engineer-federal-fieldai-irvine-edk1710b212m) — Irvine, CA
- [3D/AR/VR Software Engineer](https://feeny.ai/job/3d-ar-vr-software-engineer-fieldai-boston-v0p9bqjj56pr) — Boston, MA
- [Robotics Autonomy Engineer - Safety](https://feeny.ai/job/robotics-autonomy-engineer-safety-fieldai-irvine-hng0ewn9dtrm) — Irvine, CA
- [Robotics Autonomy Engineer - Manipulation](https://feeny.ai/job/robotics-autonomy-engineer-manipulation-fieldai-irvine-3dnpmkzzg67e) — Irvine, CA
- [Robotics Autonomy Engineer - Triage](https://feeny.ai/job/robotics-autonomy-engineer-triage-fieldai-irvine-h00v2ts6a9c6) — Irvine, CA