Top 92 quantum algorithm quantum algorithm quantum algorithm quantum algorithm qubit quantum ai Jobs

Senior Software Platform Engineer
PsiQuantum —Palo Alto, CA
- $150,000 - $185,000 a year
- Email
- Remote
- Computer networking
- Senior level
- Python
Quantum Architect – Simulation
PsiQuantum —Palo Alto, CA
- $120,000 - $170,000 a year
- Email
- Remote
- Computer science
- Computer Science
- Master's degree
Senior Director, Federal Scientific Partnerships
PsiQuantum —Arlington, VA
- $235,000 - $260,000 a year
- Email
- Remote
- 11+ years
- Presentation skills
- Travel
Staff Research Scientist, Superconducting Qubits
Q-CTRL —Los Angeles, CA
- $195,000 - $230,000 a year
- Full-time
- Engineering
- 3 years
- C++
Quantum Applications Architect (Compilation)
PsiQuantum —Remote
- $125,000 - $175,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- Math
Staff Software Engineer, Databases
PsiQuantum —Palo Alto, CA
- $180,000 - $205,000 a year
- Email
- Remote
- System design
- 11+ years
- C++
Nanofabrication Technician
Photonic —California
- $86,600 - $119,000 a year
- Full-time
- Engineering
- Mid-level
- Experience equivalent to degree accepted
- Disability insurance
- Relocation assistance
Senior Manager, Quantum Model Validation
PsiQuantum —Palo Alto, CA
- $190,000 - $240,000 a year
- Email
- Remote
- System design
- Doctor of Philosophy
- Software development
VP, US Public Sector
PsiQuantum —Washington, DC
- $300,000 - $330,000 a year
- Email
- 11+ years
- Analysis skills
- Computer networking
Assistant/Associate Professor, Quantum Materials and Quantum Information Science and Engineering
Northeastern University —Boston, MA
- $104,000 - $138,000 a year
- Full-time
- Classroom
- 5 years
- No experience needed
- Health insurance
- Dental insurance
Senior Government Programs Manager
PsiQuantum —Chicago, IL
- $140,000 - $190,000 a year
- Email
- 7 years
- Bachelor of Science
- Office
Photonic Circuits Designer
PsiQuantum —Palo Alto, CA
- $130,000 - $165,000 a year
- Email
- Computer Science
- Doctor of Philosophy
- Senior level
Product Manager, CUDA-Q
NVIDIA —Santa Clara, CA
- $168,000 - $327,750 a year
- Full-time
- Computer Science
- 8 years
- Doctor of Philosophy
Staff/Principal Software Engineer, Control
PsiQuantum —Milpitas, CA
- $180,000 - $205,000 a year
- Email
- Remote
- System design
- 11+ years
- C++
Staff Firmware Engineer
PsiQuantum —Palo Alto, CA
- $180,000 - $228,000 a year
- Email
- Computer Science
- Schematics
- System design
Research Scientist, Quantum Error Correction, Quantum AI
Google —Goleta, CA
- $147,000 - $211,000 a year
- Full-time
- Computer science
- Computer Science
- Doctor of Philosophy
R&D Engineer – Thin Film Materials
PsiQuantum —Palo Alto, CA
- $95,000 - $145,000 a year
- Email
- Doctor of Philosophy
- Senior level
- Electrical Engineering
14d
Director, Compute Platforms & AI
PsiQuantum —Milpitas, CA
- $185,000 - $255,000 a year
- Email
- Azure
- AWS
- Mentoring
Mechanical Design Drafter
PsiQuantum —Palo Alto, CA
- $114,000 - $155,000 a year
- Email
- Mid-level
- 3 years
- Master's degree
Production Technician
PsiQuantum —Palo Alto, CA
- $27 - $34 an hour
- Overtime
- Mid-level
- Windows
- High school diploma or GED

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Senior Software Platform Engineer

PsiQuantum -
Palo Alto, CA

Apply Now

Job Details

Full-time
$150,000 - $185,000 a year

Qualifications

GPU programming
Containerization systems
Infrastructure as Code (IaC)
High-performance computing clusters
Application deployment
Computer networking
Cloud networking
Cloud automation
Amazon VPC
Application support
DevOps automation
Virtual Private Clouds
Debugging

Full Job Description

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems.

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries.

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure.

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale.

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact.

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real.

Come join us.

Team Overview

PsiQuantum's Applications Software Engineering Team builds tools for quantum algorithm developers: cloud development environments, circuit design tools, and resource estimation systems that help researchers write, simulate, and optimize quantum algorithms for the world's first utility-scale, fault-tolerant quantum computer.

We're hiring a platform engineer who bridges software infrastructure with GPU-accelerated computing, someone who can improve our AWS platform while helping researchers run quantum simulations efficiently on GPU clusters.

Role Overview

We're looking for someone to partner with our existing platform engineer, splitting responsibilities across a growing platform and making it easier for quantum researchers to do their best work.

That platform includes AWS infrastructure, Terraform configs, CI/CD workflows, and the GPU clusters our researchers depend on for large-scale, computationally intensive quantum simulations. There's a real opportunity to shape how all of it evolves.

The right person for this role is comfortable making judgment calls under uncertainty; they will have a lot of latitude, and accountability to match.

Responsibilities:

How You’ll Spend Your Time

Platform Engineering (70%)

Own our AWS infrastructure end-to-end and actively shape how it evolves; building, not just maintaining.
Reduce friction in the deployment pipeline so developers can ship without infrastructure blockers.
Harden systems with intention: lock down IAM roles, container images, and authentication flows in ways that reflect a clear understanding of where the real risks are.
Implement monitoring and alerting that catches production issues before users notice them.
Make deployments faster to roll out, easier to roll back, and less prone to failure.
Lead incident response and post-mortems when necessary.

GPU/HPC Bridge Work (30%)

Make GPU clusters and other infrastructure invisible to the researchers running it.
Own CUDA compatibility and driver versions across heterogeneous GPU clusters.
Build standardized SLURM job submission workflows that researchers can use without help.
Package and containerize Python simulation code for reproducible execution.
Monitor job health across utilization, cost, and runtime efficiency.

Experience/Qualifications:

Required Qualifications

Experience: 5+ years in Platform Engineering, DevOps, or SRE roles.
Production AWS experience: Built and maintained systems on ECS/EKS, managed multi-account networking (VPCs, security groups), and dealt with real-world infrastructure complexity.
Infrastructure as Code: You've written and maintained Terraform (or Pulumi/CDK) in production, including applying ongoing changes as requirements evolved.
CI/CD: Improved build pipelines in production (reduced build times, increased reliability, made deployments easier to debug), including experience with GitLab CI, GitHub Actions, or equivalent.
GPU/HPC experience: Supported GPU workloads in production environments, including code optimization, CUDA debugging, and job scheduler setup.

Preferred Qualifications

Background in scientific computing, research infrastructure, ML platforms, or early-stage startups (especially research computing vendors).
Security & compliance experience: You've implemented auth systems (Auth0/Okta), managed encryption (KMS), or worked on FedRAMP/compliance-driven infrastructure. FedRAMP experience is a strong plus.
Exposure to quantum computing SDKs (Qiskit, Cirq, PennyLane) or hybrid classical-quantum workflows is a plus, but not required; genuine interest in quantum computing matters more than prior exposure.

What We’re Not Looking For

Candidates focused on enterprise-scale batch computing rather than cloud-native platform engineering.
Platform engineers without exposure to GPU workloads or HPC concepts.
Candidates who prioritize architectural purity over iterative delivery.

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to [email protected].

We are not accepting unsolicited resumes from employment agencies.

The ranges below reflect the target ranges for a new hire base salary. One is for the Bay Area (within 50 miles of HQ, Palo Alto), the second one (if applicable) is for elsewhere in the US (beyond 50 miles of HQ, Palo Alto). If there is only one range, it is for the specific location of where the position will be located. Actual compensation may vary outside of these ranges and is dependent on various factors including but not limited to a candidate's qualifications including relevant education and training, competencies, experience, geographic location, and business needs. Base pay is only one part of the total compensation package. Full time roles are eligible for equity and benefits. Base pay is subject to change and may be modified in the future.

U.S. Base Pay Range

$150,000 - $170,000 USD

Bay Area Pay Range

$165,000 - $185,000 USD

Apply Now

Refine Your Search

quantum algorithm quantum algorithm quantum algorithm quantum algorithm qubit quantum ai jobs

Senior Software Platform Engineer

Quantum Architect – Simulation

Senior Director, Federal Scientific Partnerships

Staff Research Scientist, Superconducting Qubits

Quantum Applications Architect (Compilation)

Staff Software Engineer, Databases

Nanofabrication Technician

Senior Manager, Quantum Model Validation

VP, US Public Sector

Assistant/Associate Professor, Quantum Materials and Quantum Information Science and Engineering

Senior Government Programs Manager

Photonic Circuits Designer

Product Manager, CUDA-Q

Staff/Principal Software Engineer, Control

Staff Firmware Engineer

Research Scientist, Quantum Error Correction, Quantum AI

R&D Engineer – Thin Film Materials

Director, Compute Platforms & AI

Mechanical Design Drafter

Production Technician

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