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Confidential Computing Jobs (NOW HIRING)

Opaque Systems

Staff Engineer (CC)

San Francisco, CA · On-site

Lead the design, architecture, and implementation of core software components for Opaque's confidential computing platform * Design, implement, and maintain end-to-end attestation services and ...

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Azure DevOps Architect

Menlo Park, CA · Remote

$74.75 - $97.50/hr

... Confidential Computing - Architecture and deployment of secure enclave workloads for high-security, regulated enterprise environments - SBOM Automation Pipelines - End-to-end automated Software Bill ...

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$30.5K

$53K

$85.5K

How much do confidential computing jobs pay per year?

As of Jun 5, 2026, the average yearly pay for confidential computing in the United States is $52,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $59,000.00 per year, depending on experience, location, and employer.

How does a Confidential Computing specialist typically collaborate with cross-functional teams to implement secure data solutions?

As a Confidential Computing specialist, you will often work closely with cloud architects, application developers, and security teams to design and implement secure data processing environments. Collaboration involves reviewing application architectures, advising on secure enclaves, and helping to integrate hardware-based security features into workflows. Regular meetings, code reviews, and joint troubleshooting sessions are common, ensuring that sensitive data remains protected throughout its lifecycle. This role requires strong communication skills to translate complex security concepts across technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive in a Confidential Computing role, and why are they important?

To thrive in a Confidential Computing role, you need strong expertise in cybersecurity, cloud computing, encryption technologies, and typically a degree in computer science or a related field. Familiarity with secure enclaves, trusted execution environments (TEEs) like Intel SGX or AMD SEV, and certifications such as CISSP or cloud security credentials are often required. Exceptional problem-solving, attention to detail, and effective communication are crucial soft skills for collaborating with cross-functional teams and addressing complex security challenges. These skills ensure that sensitive data remains protected during computation, maintaining privacy and compliance in increasingly complex digital environments.

What is the difference between Confidential Computing vs Data Security Specialist?

AspectConfidential ComputingData Security Specialist
CredentialsTypically requires knowledge of hardware security, cloud security certifications, and sometimes cloud provider-specific credentialsOften holds certifications like CISSP, CISA, or CompTIA Security+
Work EnvironmentPrimarily in cloud environments, data centers, or secure hardware setupsInvolves network security, endpoint protection, and data protection across various platforms
Industry UsageUsed in cloud service providers, financial institutions, and organizations handling sensitive dataCommon across IT, finance, healthcare, and government sectors

Confidential Computing focuses on protecting data in use by securing hardware and cloud environments, while Data Security Specialists implement broader security measures to safeguard data across systems and networks. Both roles are vital for comprehensive data protection but differ in scope and technical focus.

What is confidential computing?

Confidential computing is a technology that protects data while it is being processed in memory, not just when it is stored or transmitted. It uses secure, isolated environments known as Trusted Execution Environments (TEEs) to prevent unauthorized access, even from cloud providers or system administrators. This ensures sensitive data and workloads remain confidential, increasing security for organizations handling critical information. Confidential computing is becoming increasingly important for industries with strict privacy and compliance requirements.
Infographic showing various Confidential Computing job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 52% Full Time, 42% Part Time, 2% Temporary, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $52,999 per year, or $25.5 per hour.
Staff Software Engineer (Rust) - Confidential Computing Infrastructure

Staff Software Engineer (Rust) - Confidential Computing Infrastructure

Fortanix

Santa Clara, CA • On-site

$204K - $242K/yr

Full-time

Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

About Us
At Fortanix we are pioneers in confidential computing and Confidential AI for hybrid and multicloud environments. We build technologies that protect sensitive data while it is in use -combining trusted execution environments (TEEs), advanced cryptography, and hardware-based isolation to secure applications, AI models, and data across clouds, on-premises infrastructure, and devices.
Our platform enables organizations to run and manage confidential workloads and AI, reduce data exposure risk, and adopt Zero Trust architectures with strong runtime protections. We partner closely with leading cloud and silicon providers and bring together experts in cryptography, systems, and distributed computing to solve some of the most challenging problems in protecting data in use.
We foster a collaborative, research-driven culture focused on advancing the state of the art in confidential computing and Confidential AI, enabling organizations to unlock the value of sensitive data while preserving privacy and security.
The Role
Staff Software Engineer (Rust) - Confidential Computing Infrastructure
We're looking for a Staff Software Engineer (Rust) to join our Confidential Computing Management team - the group responsible for designing, building, and operating the confidential computing infrastructure that secures our Generative AI platform.
This is a deeply hands-on role focused on building Rust services and infrastructure that run inside and around trusted execution environments (Intel SGX, Intel TDX, AMD SEV) across hybrid and multi-cloud environments. You'll shape the architecture of a platform that enables secure, confidential AI workloads at scale.
Location: Santa Clara (CA)
What you'll do
  • Design and build Rust-based platform and infrastructure services for confidential computing environments
  • Design and implement services that execute inside TEEs and integrate attestation, sealing, and confidential workload orchestration
  • Architect and evolve our confidential computing infrastructure across hybrid and multi-cloud environments
  • Build and operate Kubernetes-based confidential workload platforms
  • Improve platform reliability, scalability, performance, and security posture
  • Define infrastructure architecture and influence cross-team technical direction
  • Mentor engineers in Rust, distributed systems, and confidential computing practices
  • Drive production excellence: observability, resilience, deployment, and capacity planning

What you'll work on
You will design, implement, and operate systems such as:
  • Enclave-resident Rust services and supporting control-plane infrastructure
  • Rust infrastructure services for confidential workload orchestration
  • Secure scheduling, attestation, and key-management services
  • Kubernetes operators and controllers for confidential workloads
  • Confidential runtime and Runtime Encryption® components (SGX/TDX/SEV)
  • Hybrid/multi-cloud deployment and isolation infrastructure
  • High-assurance services requiring strong isolation and memory safety

Requirements
Required experience
  • 8+ years of software engineering experience
  • 3-5+ years of production Rust in systems, backend, or infrastructure
  • Strong experience building and operating distributed systems or platform infrastructure
  • Production Kubernetes experience (operators/controllers strongly valued)
  • Strong Linux systems programming and debugging skills
  • Cloud infrastructure experience (AWS, GCP, or Azure)
  • CI/CD and production deployment pipelines
  • Experience with distributed data stores (e.g., Cassandra, MongoDB, etc.)

Strongly preferred
  • Hands-on confidential computing / TEE development (Intel SGX, Intel TDX, AMD SEV, Nitro Enclaves, etc.)
  • Experience building or operating enclave or confidential workload platforms
  • Rust performance-sensitive systems (async, networking, storage, runtime)
  • Platform architecture ownership at scale
  • Observability and reliability engineering for distributed platforms

Nice to have
  • Secure or privacy-preserving AI infrastructure
  • Experience deploying AI/ML workloads on Kubernetes
  • Multi-tenant or regulated cloud environments

What we value
  • Infrastructure and platform ownership mindset
  • Security-first engineering
  • Pragmatic, high-quality Rust systems development
  • Mentorship and technical leadership
  • Reliability and operational excellence

Benefits
  • We offer a collaborative work environment, amazing equity, great benefits, competitive salary, and the opportunity to redefine cloud computing.
  • Unlimited PTO (it's between you and your work!)
  • 40 hours of Volunteer Time Off/year
  • Internet stipend
  • Friendly culture that brings the best out of everybody
  • 401k

Candidates must be legally authorized to work in the United States at the time of hire.
For this role, candidates must have a minimum of 24 months of current U.S. work authorization remaining without the need for employer sponsorship.
We are able to support H-1B transfers for candidates already in H-1B status and may consider sponsorship for candidates currently in the United States on F-1 or J-1 status. We are not initiating new visa sponsorships for candidates who would require entry into the H-1B lottery from outside the United States.

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