Senior Software Engineer, PsiQuantum
AI for Quantum
$205-220k
+ Equity
Office located in Palo Alto, CA
Quantum computer builder
Be an early applicant
Quantum computer builder
201-500 employees
Be an early applicant
$205-220k
+ Equity
Office located in Palo Alto, CA
201-500 employees
Company mission
To create the world’s first useful fault tolerant, error corrected quantum computer that will solve otherwise impossible problems.
Role
Who you are
- The ideal candidate brings deep expertise in large-scale model training and systems optimization, a solid mathematical or physical sciences foundation, and the ability to integrate advanced ML methods into a broader scientific software stack
- 8+ years of professional experience with a strong background in mathematics or physics (Bachelor’s or higher in a quantitative field such as Physics, Applied Math, Computer Science, or related discipline)
- Proven expertise in large-scale pretraining, distributed optimization, and scaling methods (e.g. , model/data parallelism)
- Fluent in Python and at least one systems programming language (C, C++, Rust)
- Proficiency in GPU programming and kernels (e.g. CUDA, Triton, Warp, CuTe, CUTLASS)
- Experience with GPU programming and performance profiling for ML workloads
- Familiarity with modern ML frameworks such as PyTorch and JAX
- Excellent communication skills and ability to collaborate with cross-disciplinary teams spanning physics, ML, and software engineering
- Knowledge of model compression, distributed systems, or compiler-level optimization for ML runtimes
- Proven ability to work closely with subject matter experts, data analysts, or other non-traditional software stakeholders
- Excellent communication, problem‑solving, and cross‑team collaboration skills
- Preference for those with prior exposure to quantum computing concepts or physics-informed ML
What the job involves
- PsiQuantum is seeking an experienced Machine Learning (ML) expert to join our AI for Quantum initiative, focused on accelerating progress in Quantum Error Correction (QEC) and related computational research
- This role will partner closely with physicists and software engineers to develop, optimize, and scale ML models supporting quantum error correction and error modelling
- Develop large-scale pretraining, fine tuning and inference efforts for models used in QEC and related classical control problems
- Design, implement, and optimize GPU/CUDA/C++ kernels and distributed training pipelines for high-performance model development
- Collaborate with physicists and engineers to translate quantum phenomena and simulation outputs into ML-relevant data representations
- Prototype and evaluate new ML architectures for solving QEC-related classical control problems
- Work closely with infrastructure teams to ensure seamless integration of ML components into existing quantum computation pipelines
- Drive best practices in ML experimentation, data curation, and reproducible research within the team
Our take
Quantum computing will change the world more than any other imminent technological development, and PsiQuantum sits at the forefront of the charge to build the first quantum computer that will actually work.
The company is unique for the scale of their ambitions. Rather than focusing on what they term “intermediate milestones” like building smaller proof of concept systems, PsiQuantum builds the first large-scale, error-corrected computer, using photonics to deliver over 1,000,000 qubits (current quantum machines have yet to cross the 1,000 qubit mark).
There are plenty of companies building quantum computers, including the likes of IBM, Google and Honeywell, but these prototypical machines lack the size to correct errors, making them exponentially less useful than what PsiQuantum aims for. While other companies operate in the same sphere, PsiQuantum is unequivocally a leader in its field, founded by world-class academics and raising hundreds of millions in funding to reach unicorn status.
Steph
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Jun 2025
$1bn
GROWTH EQUITY VC
Jun 2024
$125m
CONVERTIBLE
Total funding: $2.6bn
Company HQ
Palo Alto, CA
Leadership
Jeremy O'Brien
(CEO)Prior to founding PsiQuantum, researched and taught at universities across the world, including Bristol, Stanford, Osaka, Sydney and Queensland.
Mark Thompson
(Chief Technologist)Previously worked as an R&D Engineer at Toshiba and was a research fellow at the University of Cambridge. Is currently a Professor of Quantum Photonics at Bristol University as well as Chief Technologist at PsiQuantum.
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