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高级软件工程师,认证服务 - DGX云

雇主

NVIDIA

地点

远程 · Santa Clara · 美国

待遇

$面议

工作模式

远程

截止日期

1月10日

福利
Equity,Benefits

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岗位摘要

Senior Software Engineer to build and manage core attestation cloud services, focusing on APIs, reli

岗位职责

NVIDIA is transforming how the world uses AI, cloud, and accelerated computing, and trust is at the center of that mission.
Our Attestation and Trust Services team builds the secure cloud services that show customers their
NVIDIA platforms are healthy, resilient, and ready for their most important workloads.
In this role, you help design and run services that sit at the intersection of hardware, security, and large-scale distributed systems.
We partner closely with security, silicon, platform, and cloud teams to bring new ideas into reliable production services that people rely on every day.
We care about building systems that last, supporting each other, and creating space for learning and experimentation.
If you enjoy solving complex problems, keeping services running smoothly, and collaborating with teammates from many disciplines, we would love to talk with you!
What you’ll be doing:
• Your main focus will be on building and managing our core attestation cloud services.
Day-to-day responsibilities include crafting APIs and integrations, boosting reliability, and working alongside
NVIDIA teams to convert hardware trust mechanisms and standards into production-ready solutions.
You will contribute significantly to shaping how customers verify that
NVIDIA platforms are secure and prepared for their workloads.
• Crafting and evolving attestation cloud services, APIs, and
SDK/CLI integration points that confirm the integrity of
NVIDIA platforms across data center, AI, networking, and partner environments.
• Improving reliability and operational maturity through SLOs/SLIs, alerting, runbooks, incident response, and safe rollout practices.
• Crafting resilient service behavior that handles dependency failures, caching challenges, regional issues, customer-side resilience needs, and graceful degradation.
• Architecting trust-material distribution for certificate status, revocation updates, signed metadata, RIM artifacts, trust bundles, offline verification, and customer-managed resilience models.
• Implementing appraisal, policy, and verification workflows that evaluate attestation evidence against endorsements, reference values, certificate status, and security requirements.
• Providing encouraging technical leadership and mentoring on distributed system development, production debugging, reliability tradeoffs, observability, and operational simplicity.
What we need to see:
• BS or MS in Computer Science, Information Security, or a related field, or equivalent experience.
• 12
years of proven experience designing and building large-scale distributed systems or cloud services, including at least 3 years in security, attestation, or trusted computing.
• Experience owning services in production, including monitoring, alerting, incident response, root-cause analysis, and long-term operational improvements.
• Experience developing and maintaining
REST and/or gRPC APIs, microservices, control planes, background tasks, caches, queues, data stores, and customer-facing integrations.
• Proficiency in Go or Java (our primary service languages);
experience with C
or Rust is a plus.
• Hands-on experience with cloud-native platforms such as Kubernetes and containers, CI/CD, infrastructure as code, observability tools, and at least one major cloud provider (AWS, GCP, Azure, or OCI).
• Knowledge of distributed systems practices such as retries, timeouts, circuit breakers, backpressure, rate limiting, caching, consistency, idempotency, failover, and dependency isolation.
• Understanding of security fundamentals including PKI, TLS/mTLS, certificate lifecycle, signing, secrets management, authentication and authorization, and secure service-to-service communication.
Ways to stand out from the crowd:
• Interest in security-critical systems, trust infrastructure, secure service development, and learning more about attestation or confidential computing.
• Hands-on experience operating customer-facing cloud services with formal SLOs, error budgets, safe deployment systems, production-readiness reviews, resilience testing, or chaos/game-day practices.
• Experience with attestation, confidential computing, trusted execution environments, TPMs, DICE, SPDM,
IETF RATS, EAT,CoRIM, HSMs, hardware roots of trust, secure boot, GPU/accelerator attestation, or related open-source and standards efforts.
• Experience in services related to identity, PKI, certificate status and revocation, signing, secrets management, trust-material distribution, or control-plane reliability.
• Experience crafting services for multi-region, multi-cloud, sovereign, GovCloud, edge, disconnected, air-gapped, or customer-hosted environments.
#LI-Remote Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 25, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

申请条件

BS or MS in Computer Science, Information Security, or a related field, or equivalent experience.
12+ years of proven experience designing and building large-scale distributed systems or cloud services, including at least 3 years in security, attestation, or trusted computing.

雇主简介

NVIDIA is a technology company that designs GPUs and system-on-chip units for gaming, professional visualization, data centers, and automotive markets. The Physics Simulation Team focuses on physics simulation for robotics learning and evaluation.

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