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Remote Quantum Programming Jobs in Santa Clara, CA

AI-First SRE/DevOps Engineer

San Jose, CA ยท On-site +1

$66.75 - $88.75/hr

US (Remote or HQ Hybrid) Job Type: Full-time Axiad is seeking a skilled AI-First SRE/DevOps ... post-quantum cryptography, and agentic AI identity risk. The ideal candidate has a builder ...

... and quantum physicist who obtained his PhD at the age of 20. The company is backed by leading ... Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto ...

... and quantum physicist who obtained his PhD at the age of 20. The company is backed by leading ... Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto ...

Remote Quantum Programming information

See Santa Clara, CA salary details

$29.4K

$104.5K

$175K

How much do remote quantum programming jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote quantum programming in Santa Clara, CA is $104,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,400.00 and $136,200.00 per year, depending on experience, location, and employer.

What is remote quantum programming?

Remote quantum programming involves developing and running quantum algorithms on quantum computers that are accessed over the internet, rather than being physically present with the hardware. Programmers use specialized platforms and languages, such as Qiskit or Cirq, to write code that can be executed on quantum processors hosted in cloud environments. This approach allows researchers and developers from anywhere in the world to experiment with quantum computing without the need for expensive and delicate equipment on-site.

What are the key skills and qualifications needed to thrive as a remote quantum programmer?

To thrive as a Remote Quantum Programmer, you need a strong background in quantum mechanics, linear algebra, and programming languages such as Python or C++, typically supported by a degree in computer science, physics, or a related field. Familiarity with quantum computing frameworks like Qiskit, Cirq, or Microsoft Quantum Development Kit, as well as experience using cloud-based quantum platforms, is highly beneficial. Strong problem-solving skills, effective communication, and self-motivation are crucial soft skills for collaborating remotely and tackling complex quantum problems. These skills and qualities are essential for developing, testing, and deploying quantum algorithms efficiently in a rapidly evolving, remote-focused field.

What are the common challenges faced when working remotely as a quantum programmer, and how can they be addressed?

Remote quantum programmers often encounter challenges such as limited access to specialized hardware, rapidly evolving tools, and collaboration across different time zones. To address these, many organizations provide access to cloud-based quantum computing platforms and encourage regular virtual meetings using collaborative tools. Staying proactive in learning new frameworks and participating in online forums or team discussions can also help bridge knowledge gaps and foster a sense of connection with colleagues, even when working remotely.

What is the difference between Remote Quantum Programming vs Remote Quantum Software Developer?

AspectRemote Quantum ProgrammingRemote Quantum Software Developer
Required CredentialsQuantum computing degrees, certifications in quantum algorithmsComputer science degrees, programming certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, startups, research institutions
Industry UsageQuantum computing industry, R&DSoftware development industry, tech sector
Common Search IntentQuantum programming tasks, algorithmsSoftware development, coding projects

Remote Quantum Programming focuses on developing quantum algorithms and working directly with quantum hardware, often requiring specialized knowledge in quantum mechanics. Remote Quantum Software Developers create software solutions, including classical and quantum code, for various applications. While both roles involve programming, Quantum Programming is more research-oriented and specialized, whereas Quantum Software Development covers broader software tasks within the quantum industry.

What are popular job titles related to Remote Quantum Programming jobs in Santa Clara, CA?

For Remote Quantum Programming jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Remote Quantum Programming jobs in Santa Clara, CA look for?

The top searched job categories for Remote Quantum Programming jobs in Santa Clara, CA are:

AI-First SRE/DevOps Engineer

Axiad

San Jose, CA โ€ข On-site, Remote

$66.75 - $88.75/hr

Full-time

Re-posted 2 days ago


Job description

Axiad is the identity security company building Axiad Mesh - the identity risk decision platform for the IVIP era. Mesh translates identity exposure into financial impact, prioritizes risk across human, machine, and agentic identities, and drives remediation through existing operational systems.

Location: US (Remote or HQ Hybrid)
Job Type: Full-time

Axiad is seeking a skilled AI-First SRE/DevOps Engineer with 5-8 years of hands-on infrastructure and platform engineering experience to help build and run Mesh, our Identity Visibility and Intelligence Platform (IVIP) - a cloud-native microservices platform on Kubernetes spanning human identity, non-human identity (NHI), post-quantum cryptography, and agentic AI identity risk. The ideal candidate has a builder mentality and a strong AI-First mindset: automation and AI are the default, not the afterthought, and infrastructure is something you create, not just maintain.ย 

This is a startup environment. You will own real surface area end-to-end, move fast, and ship. The role requires deep operational expertise in Kubernetes, CI/CD, and infrastructure-as-code, along with practical experience running AI/LLM systems in production. If your instinct when facing a repetitive task is to script it, agent-ify it, or delete it entirely - you'll fit right in.ย 

Role Responsibilitiesย 

  • Own reliability, observability, and delivery for a multi-tenant, cloud-native Kubernetes platform - from design through production, yours to run and yours to improve.ย 
  • Build (not just operate) CI/CD pipelines, infrastructure-as-code, and GitOps-driven progressive delivery that let a small team ship many times a day, safely.ย 
  • Embrace and advocate AI-First operations: automate incident response, runbooks, and remediation, and put AI agents in the loop to triage, diagnose, and propose fixes where it makes sense. Treat toil as a bug.ย 
  • Build the infrastructure that AI-native features run on: inference gateways, LLM cost/latency observability, prompt/version pipelines, eval harnesses, and guardrails for agentic workloads.ย 
  • Instrument everything - SLOs, error budgets, and distributed tracing across services and data pipelines.ย 
  • Harden the platform: secrets management, supply-chain security, and least-privilege everywhere.ย 
  • Troubleshoot and resolve production issues, leveraging AI-powered debugging and observability tooling.ย 
  • Collaborate directly with product and platform engineers to translate requirements into resilient infrastructure - no throwing tickets over a wall; if you see a problem, it's yours to solve.ย 
  • Mentor engineers in adopting AI-first operational practices and automation-by-default culture.ย 

Skills and requirementsย 

  • 5-8 years of professional experience in SRE, DevOps, or platform engineering roles.ย 
  • Builder mentality:ย you'd rather create a tool, platform, or automation than run a manual process twice. You ship things and stand behind them.ย 
  • Ownership:ย you take problems from ambiguity to resolution without waiting for a ticket, a spec, or permission. When something you own breaks, you're the first to know and the first to act.ย 
  • Strong Kubernetes operational experience - running it in production, not just deploying to it.ย 
  • Demonstrable adoption of an AI-First mindset and tools (Claude Code, Cursor, or Windsurf). Daily use of at least one AI development tool is a must.ย 
  • Fluency with infrastructure-as-code, GitOps, and modern CI/CD; comfortable scripting and building tooling (Go or Python preferred).ย 
  • Cloud-native depth on at least one major cloud provider.ย 
  • Solid observability expertise and SLO-driven operations experience.ย 
  • Experience with containerization (Docker) and service mesh concepts.ย 
  • Strong problem-solving skills and a collaborative mindset; excellent communication within Agile teams.ย 
  • A bias for shipping - startup pace energizes you rather than stresses you.ย 

Preferred Qualificationsย 

  • Experience building or operating LLM infrastructure: inference gateways, eval/observability tooling, agentic orchestration.ย 
  • Data-pipeline and streaming/CDC experience.ย 
  • Security or identity background; familiarity with post-quantum cryptography or supply-chain security.ย 
  • Prior experience at an early-stage startup.ย 

120,000 - 160,000 OTE + Equity + Benefits

ABOUT US

We are a fast-moving company and are looking for candidates with growth potential, eager to learn and who can demonstrate their abilities and motivation to contribute in a fast-paced environment.ย  Axiad offers a competitive compensation and benefits. You will work in a fun and creative environment with a talented group of individuals that have a passion for building great solutions.