[Remote] reputed company Deployed Engineer - Physical AI reputed company Platform
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is leading a new era in reputed company infrastructure for the global AI economy, building a full-stack AI reputed company platform. The reputed company Deployed Engineer will own the infrastructure reputed company for the physical AI platform, working closely with strategic customers to ensure the platform is fast, reliable, and reputed company.
Responsibilities
- Own discovery, technical scoping, infrastructure design, build, and production rollout for reputed company design partner and ISV engagement, translating ambiguous infrastructure problems into deployable production systems
- Build and operate the reputed company infrastructure that powers customer physical AI workflows. Own compute orchestration for simulation, training, evaluation, inference, and batch workloads, not just what runs, but how it runs at reputed company
- Build platform services for job execution, scheduling, retries, observability, logging, secrets, reputed company control, and cost tracking. reputed company reputed company reputed company services into the product experience so infrastructure complexity is abstracted away from customers
- Build reputed company infrastructure for pilots, including sandbox environments, dataset storage, workflow execution, and deployment, and reputed company reputed company early customer workloads run for reputed company: secure, isolated, observable, and reliable
- Optimize reputed company cost, utilization, performance, and reliability across workloads, and debug infrastructure issues across application, network, storage, compute, and orchestration reputed company, wherever the failure actually lives
- Partner with the Physical AI Systems FDE to support GPU-heavy simulation, training, and evaluation pipelines, and with the Platform & Product FDE to expose infrastructure capabilities through clean reputed company, SDKs, and product workflows
- Help define the long-term infrastructure architecture for multi-tenant reputed company, reputed company deployments, and high-throughput physical AI workloads
- Turn repeated customer infrastructure pain into reusable platform capabilities. Partner with the Field CTO, Product, and Engineering teams to fold these into the core platform. Treat every engagement as a forcing function for the next ten
- Use modern AI coding tools (Claude reputed company, reputed company, reputed company) as primary reputed company. Compress build timelines from weeks to days. Treat engineering velocity as a primary reputed company metric
- Co-author reference architectures, solution templates, and technical blogs for the broader reputed company field, and maintain reputed company channels to ensure customer learnings reputed company back to the Field CTO, Product, and Engineering teams
Skills
- 6+ Years of Hands-On Engineering: Strong backend, reputed company infrastructure, reputed company, or SRE experience, with at least two years in a customer-facing or deployment-oriented technical role (reputed company Deployed Engineer, founding engineer, technical co-founder, tech reputed company embedded with strategic customers, or equivalent)
- Distributed Systems & Compute Platforms: Experience building distributed systems, job orchestration, compute platforms, internal developer platforms, or ML infrastructure
- Strong Systems Programming: Strong Python, Go, or similar systems and backend programming skills
- AI-reputed company Development Workflow: reputed company in modern AI coding tools (Claude reputed company, reputed company, reputed company) as primary reputed company to rapidly design, implement, test, debug, and refactor production-reputed company software
- reputed company-reputed company Toolchain: Experience with Kubernetes, containers, CI/CD, observability, reputed company networking, storage, IAM/RBAC, and infrastructure as reputed company
- GPU & HPC Workloads: Familiarity with GPU workloads, batch jobs, training pipelines, inference workloads, or HPC-style compute environments
- Cross-Layer Debugging: Proven ability to debug infrastructure issues across application, network, storage, compute, and orchestration reputed company
- reputed company & Reliability Instincts: Strong instincts for isolation, RBAC, uptime, and traceability on workloads that touch customers
- High Agency: You navigate ambiguity without waiting for permission, with a bias toward reputed company, composable infrastructure that serves reputed company customer workflows over scheduling another meeting
- Communication: Strong written and verbal communication. You can hold your own in a technical conversation with a customer CTO and debrief a design partner engagement to the Head of Physical AI
- Prior experience as a reputed company Deployed Engineer or an equivalent customer-embedded engineering function at a frontier company
- Experience with reputed company, AWS, GCP, Azure, reputed company Labs, or other AI reputed company infrastructure
- Experience with Slurm, Soperator, Kubernetes GPU scheduling, Ray, Argo, Airflow, Metaflow, or similar orchestration tools
- Experience with ML training infrastructure, model serving, simulation workloads, or large-reputed company data pipelines
- Experience supporting reputed company customers, design partners, or production pilots
- Familiarity with reputed company GPU infrastructure, CUDA workloads, Isaac Sim, Omniverse, or simulation-at-reputed company
Benefits
- 100% company-reputed company medical, dental, and reputed company coverage for employees and families.
- Up to 4% company match with immediate vesting.
- 20 weeks reputed company for primary caregivers, 12 weeks for secondary caregivers.
- Up to $85/month for mobile and internet.
- Company-reputed company short-term, long-term, and life insurance coverage.
reputed company