Senior Security Research Architect, Confidential Computing
NVIDIAJob Title
Senior Security Research Architect, Confidential Computing
Role Summary
Senior technical leader responsible for defining and implementing Trusted Execution Environment architecture and designs for NIC and DPU products. Work hands-on across hardware, firmware, software and research teams as well as with external partners to deliver Confidential Computing features and meet security requirements.
Experience Level
Senior - requires substantial experience; posting indicates ~12+ years of relevant experience.
Responsibilities
Key responsibilities include:
- Research, design, develop and implement architecture solutions that meet internal and external security standards and requirements.
- Apply and prototype security primitives to enable next-generation secure platforms.
- Collaborate with hardware, software, research and product teams to design Confidential Computing functionality for DPU and NIC products.
- Perform architectural modeling, microarchitectural definition, and validation; follow standards bodies and contribute to necessary infrastructure for trusted platforms.
- Work with customers and partners to identify and address security threats and issues.
- Extend networking protocols (e.g., CJDNS) and integrate distributed key management where required.
Requirements
Must-have technical skills and experience:
- Hands-on experience with Trusted Execution Technologies at hardware and software levels (examples provided in source: AMD SEV, Intel TDX, Intel SGX).
- Practical experience in computing platform security, threat modeling, isolation techniques and mitigation strategies.
- Experience profiling and modeling isolation architectures and evaluating secure-system performance.
- Familiarity with Trusted Computing attestation methods and their application in overlay/distributed networks.
- Proficiency in programming and debugging across languages and environments: Verilog, Python/Perl scripting, ARM assembly, C/C++.
- Knowledge of device secure management protocols (e.g., MCTP) and related programming interfaces.
- Strong teamwork and communication skills; ability to work in dynamic, collaborative environments.
Education Requirements
MS or PhD in Electrical Engineering, Computer Science, or Computer Engineering, or equivalent practical experience (the posting specifies 12+ years of relevant experience as an alternative).
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
