Forward Deployed Engineer - Physical AI Cloud Platform [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Forward Deployed Engineer - Physical AI Cloud Platform based in the United States.

Join a pioneering engineering team building the infrastructure foundation powering the next generation of AI applications and physical AI workloads. In this senior, high-autonomy role, you will work directly with strategic customers and partners to design, build, and deploy production-grade cloud platforms. You will bridge customer needs and core engineering capabilities, transforming complex infrastructure challenges into scalable solutions. This position offers the opportunity to influence platform architecture, shape product direction, and work on advanced AI infrastructure across compute, storage, networking, and deployment systems. You will thrive in an environment that values ownership, technical excellence, rapid execution, and solving challenging engineering problems at scale.

Accountabilities

• Own end-to-end technical execution for strategic customer and partner engagements, including discovery, infrastructure design, implementation, and production deployment.
• Design and build cloud infrastructure supporting advanced AI workloads, including simulation, training, evaluation, inference, and large-scale batch processing.
• Develop platform services for workload execution, scheduling, observability, logging, secrets management, access control, and cost optimization.
• Create secure and scalable onboarding environments for customers, including sandbox setups, data storage, workflow execution, and production deployment capabilities.
• Improve platform reliability, security, performance, and cost efficiency by debugging issues across application, network, storage, compute, and orchestration layers.
• Collaborate with engineering teams to expose infrastructure capabilities through APIs, SDKs, and product workflows.
• Define long-term infrastructure architecture for multi-tenant SaaS platforms, enterprise deployments, and high-throughput AI workloads.
• Identify recurring customer infrastructure challenges and transform them into reusable platform capabilities.
• Use modern AI development tools to accelerate engineering workflows, improve productivity, and deliver high-quality production software quickly.
• Create technical documentation, reference architectures, and feedback loops that help improve products and support broader engineering teams.

Requirements

• 6+ years of hands-on engineering experience in backend development, cloud infrastructure, platform engineering, SRE, or related fields.
• At least 2 years of experience in customer-facing or deployment-focused technical roles such as Forward Deployed Engineer, technical lead, founding engineer, or equivalent.
• Strong experience building distributed systems, compute platforms, internal developer platforms, orchestration systems, or ML infrastructure.
• Advanced programming skills in Python, Go, or similar backend and systems programming languages.
• Experience using AI-native development tools such as Claude Code, Codex, Cursor, or similar technologies to accelerate software development.
• Strong knowledge of cloud-native technologies including Kubernetes, containers, CI/CD, observability, cloud networking, storage, IAM/RBAC, and infrastructure as code.
• Familiarity with GPU workloads, HPC environments, ML training pipelines, inference systems, or large-scale compute workloads.
• Proven ability to troubleshoot complex infrastructure issues across multiple technology layers.
• Strong understanding of security, reliability, workload isolation, access controls, and operational best practices.
• Ability to operate independently in ambiguous environments with strong ownership and problem-solving skills.
• Excellent communication skills with the ability to collaborate with technical leaders, customers, and cross-functional engineering teams.
• Experience with AI cloud platforms, GPU scheduling, ML infrastructure, simulation environments, or enterprise customer deployments is a plus.

Benefits

• Competitive base compensation ranging from $179,500 to $224,300 USD .
• 100% company-paid medical, dental, and vision insurance for employees and families.
• 401(k) retirement plan with up to 4% employer matching and immediate vesting.
• Paid parental leave, including 20 weeks for primary caregivers and 12 weeks for secondary caregivers.
• Company-paid short-term disability, long-term disability, and life insurance.
• Remote work reimbursement of up to $85/month for mobile and internet expenses.
• Fully remote flexibility within the United States.
• Career growth opportunities and continuous learning support.
• Opportunity to work on impactful AI infrastructure projects shaping the future of technology.
• Collaborative international environment with highly skilled engineering teams.
• High level of ownership, autonomy, and ability to influence product and platform direction.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.