Forward Deployed Software Engineer
PhysicsX · New York, NY
$150,000–$250,000from the description
Jul 19, 2026
New York, NY
Jul 21, 2026
What this job asks for AI summary
A full-stack software engineering role focused on building and deploying applications that wrap physics-based AI models for use by engineering customers across industries. Day-to-day work spans Python backend development (FastAPI, microservices), cloud infrastructure (Kubernetes, Terraform, AWS/Azure), and direct collaboration with customers to design and iterate on tools. Regular international travel to customer sites is expected, averaging three to four weeks per quarter.
Senior level · National · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
Location is not explicitly stated in the posting. The compensation structure (USD, 401k, FSA) and mention of North America travel strongly suggest a US-based role, but no specific city or metro is given — CBSA left blank.
The title is simply 'Software Engineer' with no level modifier; the posting explicitly states 'Seniority will be assessed as part of the interview process' and the $150k–$250k range spans multiple bands. Requirements are assessed as Senior based on the breadth of ownership, customer-facing delivery, and full-stack production deployment scope.
AWS and Azure are both named as the cloud infrastructure used ('AWS/Azure'); AWS is listed as the primary skill with Azure as an alternative, since they appear as a paired stack rather than a strict choice.
Helm, Kubernetes, Terraform, AWS/Azure appear in the 'Backend development' day-to-day description section rather than a formal 'Requirements' block, but they are described as the tools actively used to deploy applications — treated as hard gates given the role's explicit infrastructure ownership.
LLMs (Large Physics Models / AI models) appear as context for what the role serves rather than a skill the candidate must bring — listed as preferred.
A background in Mechanical Engineering is explicitly called 'a plus' — omitted as it is not a technology skill.
The posting notes potential ITAR/EAR export control obligations, which may restrict sponsorship for certain candidates, but no formal US security clearance is required.
Read the full posting
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