Engineer, New Grad

Spectral Labs; San Francisco (CA); On-site; USD 150,000 - 220,000; Full time

Benefits offered by this job

Competitive equity

Bonuses

Health insurance options

Dental insurance

401(k) match

Office lunch and snacks

Commuting covered

Job summary

Spectral Labs is hiring new graduates for a broad role spanning machine learning, geometry, graphics, and AI. You’ll work across geometry, data pipelines, evaluation harnesses, internal tooling, and training support in a fast, collaborative team.

The position is a fully in-person, full-time role at our SF office, with real problems early and a supportive team to help you grow and discover your strengths.

Qualifications

• Bachelor’s or Master’s in Computer Science, Engineering, Math, Physics, or related field.
• Strong in at least one area: ML, geometry, graphics, or AI, with curiosity about the others.
• Strong programming ability in Python and/or C/C++.
• Evidence of finishing hard projects or open-source contributions.
• Comfort with a high-ownership environment.
• Impressive achievements in any domain are a plus.
• Comfort with Linux, git, CUDA, and cloud infrastructure.

Responsibilities

• Contribute across machine learning, geometry, graphics, and AI tasks.
• Build data pipelines, evaluation harnesses, and internal tooling.
• Tackle real problems early and ship results with guidance.

Skills

Python

C/C++

Machine Learning

Geometry

Graphics

AI

Linux

Git

CUDA

Cloud infra

Education

Bachelor’s or Master’s in Computer Science, Engineering, Math, Physics

Tools

CUDA

Git

Linux

Cloud platforms

Job description

What We're Looking For

Spectral Labs is building foundation models for engineering physical systems. We are hiring new graduates for raw ability, not domain experience. What we look for instead of heavy experience with CAD kernels and generative geometry is evidence that you teach yourself hard things quickly and finish them.

You’ll join our technical staff, and the role is deliberately broad. The work sits across machine learning, geometry, graphics, and AI: geometry and data pipelines, evaluation harnesses, internal tooling, and training and experiment support. We’re hiring a generalist, a real strength in at least one of those areas and genuine curiosity about the rest. You don’t come with a specialty yet, and that’s the point. A small team gives you the whole system, and you’ll find out where you’re strongest by working across it. You’ll get real problems early, and the people around you will help whenever you ask, but you’ll be the one steering.

This is a fully in-person, full-time role at our office in SF.

What You'd Work On

• The highest-leverage work in the building. This could be:

Qualifications

• Graduating with a Bachelor’s or Master’s in Computer Science, Engineering, Math, Physics, or a related technical field, or graduated within roughly the last two years. You have a high GPA in a competitive undergrad program.
• Real strength in at least one of machine learning, geometry, graphics, or AI, and genuine curiosity about the others.
• Strong programming ability. You write Python and/or C/C++ comfortably.
• Evidence that you finish hard things nobody assigned you: a substantial personal project, research you drove yourself, open-source contributions, competition results.
• You love solving challenging problems.
• Comfort with a high-ownership environment.
• Objectively impressive achievements in any domain are a big plus. Built something unusual? Won something hard? We want to hear about it.

Big Pluses

• Research experience with a paper, preprint, or thesis you can talk about in depth.
• Work on generative models: diffusion, autoregressive, or otherwise, where you trained something yourself and evaluated it honestly.
• Experience generating synthetic data and showing it moved a real metric.
• Experience building RL environments, reward functions, or post-training pipelines.
• Coursework or projects in computer graphics or computational geometry: renderers, meshes, geometry processing, spatial data structures.
• Any work modeling physical or engineered systems, simulation, control, robotics, motion planning, or physics-informed ML.
• A track record of making things dramatically faster. Profiling, kernels, pipelines, latency: we care about the order of magnitude and how you found it.
• Internship or contract experience where you shipped something real users depended on.
• Competitive programming, math, or physics results (ICPC, IOI, IMO, Putnam, or similar).
• You've read the papers in this space and have opinions about them.
• Comfort with Linux, git, CUDA, and cloud infrastructure.

Visa Sponsorship

We fully sponsor visas end-to-end. We’ve done it before, we have immigration counsel, and if we want to hire you, we don’t want paperwork to get in the way. If we make you an offer, we’ll put real resources and effort behind getting you here. The process can be slow, frustrating, and stressful, but we’ll handle the heavy lifting on our end so you can focus on what you’re great at.

Compensation, Benefits, and Perks

• Salary between $150-220k, in addition to competitive equity and bonuses
• Multiple health insurance options, including option with 100% premium covered
• Dental insurance
• 401(k) with Company match
• Company-expensed lunch, dinner, and snacks at the office
• Company-expensed commuting to and from the office