Computational Chemist - GPU Acceleration
PsiQuantum · Palo Alto, California, United States
Posted 20 days ago
or apply directly on PsiQuantum's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 20 days PsiQuantum's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of PsiQuantum's roles list one
- Ghost-job risk at PsiQuantum
- high 58 stale, 2 reposted of 74 open
- Hiring momentum
- 102 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from PsiQuantum's own greenhouse board since 2026-08-03. Full hiring picture for PsiQuantum.
About this role
As a Computational Chemist at PsiQuantum, you will focus on developing and optimizing computational chemistry algorithms and workflows that leverage GPU acceleration for high-performance computing. Your work will involve collaborating with a team to enhance computational pipelines that integrate classical and quantum computing methods, while also conducting publishable research in the field. This role requires a strong understanding of electronic-structure theory and the ability to design software that efficiently utilizes modern GPU architectures.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of PsiQuantum as an employer.
What you need
- Ph.D. in computational chemistry, theoretical chemistry, computational physics, materials science, computer science, or a closely related field, or equivalent relevant experience
- Strong understanding of computational chemistry or electronic-structure methods
- Demonstrated experience developing or optimizing GPU-accelerated scientific software
- Experience programming for GPU or heterogeneous computing environments
- Experience working with NVIDIA and/or AMD GPU architectures
- Strong experience with high-performance computing and parallel scientific workloads
Nice to have
- Experience developing GPU implementations of electronic-structure or quantum-chemistry methods
- Experience with both NVIDIA CUDA and AMD HIP/ROCm ecosystems
- Experience optimizing large computational pipelines
- Experience with GPU-accelerated scientific libraries or frameworks
- Experience with distributed-memory HPC environments using technologies such as MPI
What you get
- competitive health coverage for you and your dependents
- 401(k) with company match
- equity grants
- access to financial wellness tools and planning resources
- wellness benefits
- family support programs
Worth weighing
- no salary listed for specific geographic zone
- role involves both classical and quantum computing, which may require a steep learning curve
- highly specialized field may limit broader marketability
Summarised from PsiQuantum's posting. Read the full original.
Listed by PsiQuantum on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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