FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Forward Deployed Engineer – Physical AI
Nebius Group. Own discovery, technical scoping, infrastructure design, build, and production rollout for strategic customer and ISV engagements .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating cloud infrastructure, with a focus on distributed systems, job orchestration, and AI-native development. Proficient in debugging complex infrastructure issues and optimizing performance, cost, and reliability in multi-tenant SaaS environments.
Highest-signal resume keywords
Cloud Infrastructure EngineeringDistributed Systems DevelopmentPython ProgrammingKubernetes ManagementAI-Native Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend EngineeringPlatform EngineeringJob OrchestrationInfrastructure as CodeDebuggingCost OptimizationPerformance TuningMulti-Tenant SaaS ArchitectureAI Coding ToolsGPU Workloads
Soft Skills
Strong Written CommunicationStrong Verbal Communication
Tools & Technologies
KubernetesCI/CDCloud NetworkingIAM/RBACNVIDIA GPU InfrastructureClaude CodeCodexCursorSlurmRay
Industry Keywords
SREPhysical AIEnterprise DeploymentsHPC-Style ComputeML Infrastructure
Tech Stack
Tools & technologiesAirflowAWSAzureCloudDistributed SystemsGoogle Cloud PlatformKubernetesPythonRayGo
About the role
Key responsibilities & impact- Own discovery, technical scoping, infrastructure design, build, and production rollout for strategic customer and ISV engagements
- Build and operate cloud infrastructure for simulation, training, evaluation, inference, and batch workloads
- Build platform services for job execution, scheduling, retries, observability, logging, secrets, access control, and cost tracking
- Integrate Nebius cloud services into customer product experiences
- Build secure, isolated, observable, and reliable onboarding infrastructure for pilots
- Optimize cloud cost, utilization, performance, and reliability
- Debug issues across application, network, storage, compute, and orchestration layers
- Partner with Physical AI Systems and Platform & Product FDEs through APIs, SDKs, and product workflows
- Help define infrastructure architecture for multi-tenant SaaS, enterprise deployments, and high-throughput physical AI workloads
- Convert repeated customer infrastructure problems into reusable platform capabilities
- Use AI coding tools to accelerate production engineering
- Co-author reference architectures, solution templates, and technical blogs; maintain feedback loops with Field CTO, Product, and Engineering teams
Requirements
What you’ll need- 6+ years of hands-on engineering experience in backend, cloud infrastructure, platform engineering, or SRE
- At least 2 years in a customer-facing or deployment-oriented technical role
- Experience building distributed systems, job orchestration, compute platforms, internal developer platforms, or ML infrastructure
- Strong Python, Go, or similar systems and backend programming skills
- Fluency in Claude Code, Codex, and Cursor for AI-native development
- Experience with Kubernetes, containers, CI/CD, observability, cloud networking, storage, IAM/RBAC, and infrastructure as code
- Familiarity with GPU workloads, batch jobs, training pipelines, inference workloads, or HPC-style compute environments
- Proven ability to debug infrastructure issues across application, network, storage, compute, and orchestration layers
- Strong instincts for isolation, RBAC, uptime, and traceability
- Strong written and verbal communication
- Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility
- Additional bonus experience includes Forward Deployed Engineering, Nebius/AWS/GCP/Azure/Lambda Labs, Slurm/Soperator/Kubernetes GPU scheduling/Ray/Argo/Airflow/Metaflow, ML training infrastructure, enterprise customers, NVIDIA GPU infrastructure, CUDA, Isaac Sim, or Omniverse
Benefits
Comp & perks- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
- Trust and real ownership
- Opportunity to shape the future of AI