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Cryptographic Engineer Jobs in California (NOW HIRING)

Senior Software Engineer

Temecula, CA · On-site

$150K - $175K/yr

Secure software, cryptographic systems, cloud-native infrastructure, high-assurance applications ... Their engineering team builds software that combines modern cryptography, secure systems ...

Distributed Systems Engineer We're seeking a staff or principle-level engineer to help build the ... Requirements * 5+ years of experience in distributed systems, cryptographic protocols, and ...

New

Senior Crypto Security Engineer

El Segundo, CA · On-site

$122K - $167K/yr

Lead spacecraft cryptographic unit trade studies, evaluating candidate solutions against ... Represent the crypto engineering function in design reviews, technical interchange meetings, and ...

Senior Crypto Security Engineer

El Segundo, CA · On-site

$122K - $167K/yr

Lead spacecraft cryptographic unit trade studies, evaluating candidate solutions against ... Represent the crypto engineering function in design reviews, technical interchange meetings, and ...

Showing results 21-40

Cryptographic Engineer information

See California salary details

$30.6K

$94.5K

$125.8K

How much do cryptographic engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for cryptographic engineer in California is $94,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $114,500.00 per year, depending on experience, location, and employer.

What does a cryptographic engineer do?

A cryptographic engineer designs, develops, and implements encryption algorithms and security protocols to protect data confidentiality and integrity. They analyze cryptographic systems, stay updated on security vulnerabilities, and often work with programming languages like C or Python, as well as cryptography tools and standards. Their work is essential in securing communications, financial transactions, and sensitive information across various industries.

What are some common challenges faced by cryptographic engineers when implementing new encryption protocols in a production environment?

Cryptographic Engineers often encounter challenges such as ensuring compatibility with existing systems, maintaining performance while integrating robust security measures, and staying ahead of evolving cyber threats. Implementing new protocols may also require extensive testing to avoid vulnerabilities and ensure compliance with industry standards. Effective collaboration with software developers and IT teams is crucial to ensure seamless deployment and minimize potential disruptions to business operations.

What are the key skills and qualifications needed to thrive as a cryptographic engineer?

To thrive as a Cryptographic Engineer, you need a deep understanding of mathematics, cryptographic algorithms, and computer science, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with cryptographic libraries, security protocols, programming languages like C/C++ or Python, and certifications such as CISSP or CEH are commonly required. Strong analytical thinking, attention to detail, and effective problem-solving skills set standout professionals apart in this role. These competencies are essential to design, implement, and maintain secure systems that protect sensitive data and ensure organizational trust.
What are popular job titles related to Cryptographic Engineer jobs in California? For Cryptographic Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Cryptographic Engineer jobs in California look for? The top searched job categories for Cryptographic Engineer jobs in California are:
What cities in California are hiring for Cryptographic Engineer jobs? Cities in California with the most Cryptographic Engineer job openings:
Infographic showing various Cryptographic Engineer job openings in California as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $94,542 per year, or $45.5 per hour.

Principal Engineer, Confidential AI

Opaque Systems

San Francisco, CA • On-site

Full-time

Re-posted 7 days ago


Job description

About OPAQUE
OPAQUE is the Confidential AI company. Born from UC Berkeley's RISELab, we solve the core challenge blocking AI adoption at scale: security concerns about data leaks or compliance violations. OPAQUE provides verifiable privacy and governance for AI so organizations can safely run models, agents, and workflows on their most sensitive data. Its Confidential AI platform delivers verifiable runtime governance backed by cryptographic proof that data, models, and agent actions remain private, governed, and compliant with approved policies throughout every AI workflow. This extends traditional data governance tools with real runtime verification, enabling teams to responsibly deploy AI using their most valuable proprietary data, and move from pilot to production 4-5X faster. Customers and partners include ServiceNow, Anthropic, Encore Capital, Accenture, and leaders across high tech, financial services, insurance, and healthcare.
Learn More at Opaque.co
Read about our Values at Opaque.co/about
ABOUT THIS JOB
We are hiring a Principal Engineer to bring the open agent-governance stack we help lead into the heart of the platform. The open projects (the Agent Governance Toolkit, Confidential MCP, Agent Manifest, and TRACE, under agentrust-io) define how autonomous agents prove what they did. You will harden them into our two commercial layers: OPAQUE Agent Control™, the software governance layer built on AGT that controls every agent, and OPAQUE Confidential Core™, the hardware and TEE layer that proves every action. Software helps you build; hardware helps you scale; verifiable AI requires both.
This is a deeply technical, customer-facing engineering role that spans software and silicon. You will own the integration end to end, ship it as platform offerings like OPAQUE Confidential MCP™ and OPAQUE Confidential Agents™, represent OPAQUE in the standards communities defining this space, and carry the work from open-source spec to scaled, attested product.
What you will do
  • Own the integration of the open agent-governance stack (Confidential MCP, Agent Manifest, TRACE) into OPAQUE Agent Control and OPAQUE Confidential Core, bound to hardware attestation and TEEs (AMD SEV-SNP, Intel TDX, NVIDIA Confidential Computing).
  • Make policy enforcement and verifiable evidence run inside the TEE: a governed agent workflow that emits a single hardware-rooted, independently verifiable record.
  • Production-harden and scale the confidential agent path across multi-cloud Confidential Containers (AKS, GKE) to enterprise reliability and latency targets.
  • Ship platform offerings such as OPAQUE Confidential MCP and OPAQUE Confidential Agents on top of that foundation.
  • Work directly with customers to turn their hardest confidential-AI problems into platform capabilities.
  • Represent OPAQUE as a technical contributor in the foundations that standardize this work (Agentic AI Foundation, CoSAI): upstream contributions, spec influence, and credibility in the community.
  • Make the open-source-to-product calls: what to harden, what to keep experimental, what to upstream.

What we are looking for
  • 10+ years building production systems, with depth across both application software and low-level/systems work.
  • Hands-on confidential computing / TEE experience (SEV-SNP, TDX, NVIDIA CC) and fluency in attestation (RATS, EAT, measured boot, key release on attestation).
  • Strong cryptographic engineering fundamentals.
  • Fluency in Go and/or Rust; comfort in Python and the agent frameworks (LangChain, LangGraph, CrewAI, AutoGen).
  • Experience scaling distributed systems on Kubernetes, ideally multi-cloud.
  • Demonstrated customer curiosity: you start from the user's problem and work back to the architecture.
  • A track record in open source and standards: shipped meaningful upstream work and can represent a company technically in a community.
  • Bonus: prior work in agent governance, policy engines (Cedar), SBOM/supply-chain, or verifiable credentials.