Openreqstaffing

Openreqstaffing

Forward Deployed Validation Engineer, AI Infrastructure

New York, USA

Work authorization required$30k-$40kDetected 68 days ago
PythonBashNode.jsFull-Stack DevelopmentCI/CDMachine LearningThermal AnalysisLoad TestingLeadership

About the role

  • As a Forward Deployed Validation Engineer, you will be the domain expert who makes Atlas indispensable for our customers' datacenter and cluster validation workflows.
  • Most validation engineers work inside discrete platforms, executing program by program.
  • Here, your expertise will be the training signal that compounds Atlas's intelligence for every customer.

Responsibilities

  • We believe the future belongs to those brave enough to build it.
  • Be the validation & performance expert - Execute datacenter validation and cluster performance testing across GPU/CPU/memory/BIOS/BMC/networking/storage subsystems; benchmark, profile, and optimize system and cluster performance; debug complex hardware/firmware/software interactions and drive root-cause analysis.
  • Build credibility through technical depth and results.

Requirements

  • Elite datacenter validation expertise.
  • 4+ years with AI/ML datacenter infrastructure, GPU cluster validation, or large-scale hardware validation at leading hardware companies or cloud providers
  • experience validating systems from deployment through production at node and cluster scale
  • proven track record debugging issues across hardware, firmware, drivers, and software in distributed ML infrastructure.
  • expertise with profiling tools, GPU utilization patterns, memory bandwidth bottlenecks, interconnect performance, and distributed training efficiency.
  • Proficiency in Python, Bash, or similar for building validation frameworks and automating tests at scale
  • Platform expertise.

Nice to have

  • Preferred: Work in person at Arena Physica's NYC headquarters when not deployed.

Skills

  • However, base pay offered may vary depending on job-related knowledge, skills, and experience.

Compensation

  • $30k-$40k

Benefits

  • In addition to base salary, we also offer competitive equity and benefits packages.
  • Benefits & Perks Include:

Company info

  • Arena Physica is building electromagnetic superintelligence.
  • Our name is inspired by Theodore Roosevelt's 'Citizenship in a Republic' speech.
  • To us, entering the Arena means committing fully and accepting the risk of failure in pursuit of an audacious, worthy cause.
  • Our team of 50 combines AI engineering and applied physics expertise with deep experience in enterprise deployments.
  • We're headquartered in NYC with presences in San Francisco and Los Angeles, backed by $62M from Initialized, Founders Fund, Goldcrest Capital, Fifth Down Capital, and Shield Capital.
  • If you're ready to do the most important work of your career, join us in the Arena Physica.
  • What we do: Our AI platform Atlas operationalizes physics-grounded intelligence to verify, debug, and optimize hardware across its lifecycle.
  • Atlas is already trusted globally by the world's most advanced hardware companies, including AMD, Anduril, Sivers Semiconductors, and Bausch & Lomb, for applications across R&D, integration testing, production assembly, and field repair.
  • Our AI platform Atlas operationalizes physics-grounded intelligence to verify, debug, and optimize hardware across its lifecycle.
  • Willingness to travel domestically and internationally (30-40% of your time) to deploy with customers and validate hardware in the field.
  • Who we are: Arena Physica is building electromagnetic superintelligence.
  • Deploy Atlas with customers - Embed at customer sites to validate datacenter hardware using Atlas as your primary tool, augmenting with your own expertise where needed.

Visa & Work Authorization

  • Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.

This listing is sourced directly from Openreqstaffing's careers page and normalized into a canonical job model.