Forward Deployed Engineer – Physical AI

Nebius Group

Forward Deployed Engineer focusing on Physical AI systems and workflows for strategic clients. Collaborating with internal teams to ensure successful implementation and model improvement in real-world applications.

Posted 7/2/2026full-timeRemote • California, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $169,900 - $254,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and deploying physical AI workflows, integrating multimodal data, and developing robust evaluation and failure analysis systems. Proficient in leveraging modern AI coding tools and frameworks to enhance engineering velocity and customer engagement.

Highest-signal resume keywords

Hands-On Engineering ExperienceStrong Python & ML FrameworksMultimodal Data FluencyGPU & Distributed Systems FluencyCustomer-Facing Engineering Maturity

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Applied MLPhysical AIComputer VisionData PipelinesModel VersioningDeploymentEvaluation HarnessesFailure AnalysisModel ImprovementAI-Native Development Workflow

Soft Skills

Strong CommunicationHigh Agency

Tools & Technologies

PyTorchModern AI Coding ToolsDistributed Training InfrastructureHigh-Throughput Storage SystemsOrchestration Frameworks

Industry Keywords

ISV IntegrationTechnical ScopingCustomer Data IntegrationPrototype EngineeringField Enablement

Tech Stack

Tools & technologies

Distributed SystemsPythonPyTorch

About the role

Key responsibilities & impact

End-to-End Ownership Inside Strategic Accounts: Own discovery, technical scoping, system design, build, and production rollout for each design partner and ISV engagement.
Physical AI Workflows & Pipelines: Build and own physical AI workflows across real-world data, synthetic data, model training, evaluation, deployment, and failure capture.
Evaluation & Failure Loops: Design scenario-based evaluation workflows, regression testing, failure analysis, and before-versus-after model comparisons.
Customer Data & Integration: Work with customer datasets including video, images, telemetry, annotations, simulation outputs, and deployment logs.
ISV Integration Development: Stand up custom technical integrations with key Physical AI ecosystem partners.
Pattern Codification & Productization: Identify which prototypes contain generalizable abstractions worth hardening into modular product components.
Rapid Engineering Velocity: Use modern AI coding tools as primary leverage.
Field Enablement Contributions: Co-author high-value technical artifacts that arm the broader Nebius SA and sales field.
Feedback Loops to Product: Maintain structured channels to ensure customer learnings flow back to the Field CTO, Product, and Engineering teams.
Technical Eminence: Represent Nebius at customer engineering deep-dives, ISV technical co-build sessions, and industry events.

Requirements

What you’ll need

6+ Years of Hands-On Engineering: Experience in applied ML, physical AI, computer vision, robotics, simulation, autonomy, or AI/ML platforms, with at least two years in a customer-facing or deployment-oriented technical role.
Real ML Systems Beyond Notebooks: Demonstrated track record building data pipelines, training pipelines, evaluation harnesses, model versioning, deployment, and monitoring that real users have depended on at meaningful scale.
Strong Python & ML Frameworks: Strong Python engineering skills and hands-on experience with PyTorch or similar ML frameworks.
Evaluation & Model Improvement Instinct: Practical understanding of evaluation, metrics, failure analysis, data quality, and model improvement loops.
Multimodal Data Fluency: Experience working with video, image, telemetry, annotation, and multimodal datasets.
AI-Native Development Workflow: Fluent in modern AI coding tools and treat them as primary leverage.
GPU & Distributed Systems Fluency: Strong working knowledge of GPU compute, distributed training infrastructure, high-throughput storage systems, and orchestration frameworks.
Customer-Facing Engineering Maturity: Comfort working directly inside customer environments, shipping code on someone else's infrastructure.
Prototype Mindset: Strong instinct for the 80/20 of prototype engineering.
High Agency: Navigate ambiguity in complex organizations without waiting for permission.
Communication: Strong written and verbal communication skills.

Benefits

Comp & perks

Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
401(k) Plan: Up to 4% company match with immediate vesting.
Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote Work Reimbursement: Up to $85/month for mobile and internet.
Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.