Strategic Overview
Member of Technical Staff Engineering at Physical Superintelligence is a dev opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as Our platform spans distributed systems, data infrastructure, agent systems and evaluation, HPC and scientific computing, developer platforms, product engineering, cloud infrastructure, and security. This application is for engineers who are strong across most…
The role is listed for Boston with remote working arrangement, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include design, infosec, technical, testing.
Key information at a glance
About This Role
Physical Superintelligence is a startup with roots at Google, NVIDIA, Harvard, Meta, MIT, Oxford, Johns Hopkins, Cambridge, and the Perimeter Institute building AI systems to discover new physics at scale.
We are seeking engineers to build platform infrastructure at the intersection of computational science, AI systems, and software engineering.
Our mission is to discover and commercialize transformative physics breakthroughs at scale with artificial superintelligence, safely, verifiably, and for broad public benefit.
Key Responsibilities & Objectives
- Our platform spans distributed systems, data infrastructure, agent systems and evaluation, HPC and scientific computing, developer platforms, product engineering, cloud infrastructure, and security. This application is for engineers who are strong across most of that list, or unusually deep in something important we…
- The standard is the same as every engineering role here: full ownership from spec to ship to on-call, and systems other people build on.
- Be specific about where you would have the most impact and what you would work on first.
- We review these applications on a rolling basis and respond only when we see a strong fit.
Required Qualifications & Candidate Blueprint
- A track record of shipping substantive engineering work: systems that shipped and mattered, open source people depend on, infrastructure that outlived your tenure. We weight evidence over credentials.
- Depth in several of the areas above and the range to move between them, or singular depth in something important we did not list.
- You can walk us through a hard technical decision you made, what you traded away, and what you would do differently.
Preferred Qualifications
- Background in any of our named areas: distributed systems, data infrastructure, agent systems and evals, HPC and scientific computing, developer platforms, product engineering, infrastructure, or security.
- Experience in research or scientific computing environments.
- Something we can read or run: a design doc, a paper, a repo, a postmortem.
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
Overview
Physical Superintelligence is a startup with roots at Google, NVIDIA, Harvard, Meta, MIT, Oxford, Johns Hopkins, Cambridge, and the Perimeter Institute building AI systems to discover new physics at scale. We are seeking engineers to build platform infrastructure at the intersection of computational science, AI systems, and software engineering.
Our mission is to discover and commercialize transformative physics breakthroughs at scale with artificial superintelligence, safely, verifiably, and for broad public benefit.
The last century's golden age of physics gave us transistors, lasers, and nuclear energy. We believe artificial superintelligence will unlock the next one. We're creating the infrastructure to industrialize scientific discovery and usher in this new era.
We have one product: new physics, at scale.
Use this application if you are an engineer, no open engineering role fits your profile, and you want to be considered anyway. We hire excellent engineers when we find them, whether or not a matching role is open. Tell us how your background and ambitions intersect with our mission, and where you would have the most impact.
Role and Responsibilities
Our platform spans distributed systems, data infrastructure, agent systems and evaluation, HPC and scientific computing, developer platforms, product engineering, cloud infrastructure, and security. This application is for engineers who are strong across most of that list, or unusually deep in something important we did not list. The bar here is higher than any single posting.
The standard is the same as every engineering role here: full ownership from spec to ship to on-call, and systems other people build on.
Be specific about where you would have the most impact and what you would work on first.
We review these applications on a rolling basis and respond only when we see a strong fit.
What We're Looking For
A track record of shipping substantive engineering work: systems that shipped and mattered, open source people depend on, infrastructure that outlived your tenure. We weight evidence over credentials.
Depth in several of the areas above and the range to move between them, or singular depth in something important we did not list.
You can walk us through a hard technical decision you made, what you traded away, and what you would do differently.
A concrete reason to be here. If AI systems and physical science together is why you are applying, say so specifically.
Nice to Have
Background in any of our named areas: distributed systems, data infrastructure, agent systems and evals, HPC and scientific computing, developer platforms, product engineering, infrastructure, or security.
Experience in research or scientific computing environments.
Something we can read or run: a design doc, a paper, a repo, a postmortem.
How We Work
We hold a high technical bar and give people full ownership of their work, from spec to ship to on-call. We write contracts before logic, test against real systems instead of mocks, and favor simple designs that ship over clever ones that do not. Our development process is AI-native: we work with agentic coding tools daily, write specs that are legible to humans and agents alike, and lead with leverage.
Location and Compensation
This role is based in Boston. We will consider remote candidates on a case-by-case basis. We offer competitive compensation including salary, benefits, and meaningful early-stage equity. We evaluate on technical breadth, systems thinking, scientific curiosity, and shipping velocity. We are an equal opportunity employer and value diverse perspectives in building platforms for AI-driven discovery.
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Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This dev opening is a useful opportunity for candidates whose experience matches design, infosec, technical, testing. Its strongest career signal is the scope of the work itself — particularly Our platform spans distributed systems, data infrastructure, agent systems and evaluation, HPC and scientific computing, developer platforms, product engineering, cloud infrastructure, and security. This application is… — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground design, infosec, technical, testing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.