Research, design, develop, and/or test operating systems for semiconductor operations, applying principles of computer science, engineering, and mathematical analysis.
Responsibilities
Research, design, develop, and/or test operating systems for semiconductor operations
Provide guidance to upcoming developers and provide long range strategy
Develop software systems and tools in support of design, infrastructure and technology platforms
Troubleshoot and debug PC systems
Provide root cause analysis guidance to internal design teams
Lead a high-leverage product roadmap embedding agentic security and privacy-preserving architectures directly into the core AI lifecycle, including frontier models, autonomous agent frameworks, and confidential compute ecosystems.
Define and own the multi-quarter product goal, charter, and roadmap for Agentic Security and Privacy Platforms across frontier training and evaluation pipelines, developer tools, and deployments to end-users.
Build secure execution environments across evaluation, reinforcement learning, and developer command-line interface workflows by enforcing hardened sandboxes, strict network access controls, and least-privilege permissions.
Lead the design and implementation of confidential computing software and firmware on RISC‑V and SiFive platforms, collaborating with CPU, SoC, security, and software teams to develop new security features and engage with customers, partners, and standards groups.
Compensation
Base Pay Range
In addition to base pay, this role may be eligible for variable/ incentive compensation and/ or equity.
Responsibilities
Plan and implement software and firmware for confidential computing on RISC‑V and SiFive platforms
Collaborate with CPU, SoC platform, security, and software architects and engineers
Engage with customers and partners to determine future platform security
Engage with RISC‑V International and RISE to drive state of the art computer security
Lead unified runtime monitoring platforms—combining reasoning-trace oversight, prompt injection defenses, and fine-grained context lineage tracking.
Scale automated adversarial testing platforms to systematically stress-test agent behaviors, paired with verification and safe production deployment.
Lead the platform roadmap for hardware-enforced confidential artificial intelligence inference—including secure hardware enclaves, remote attestation, and encrypted transport—alongside privacy and safety guardrails for enterprise and sovereign clouds.
Requirements
Bachelor's degree in Computer Science
Engineering
a related technical discipline, or equivalent practical experience
Nice to have: real-time safety guardrails
Nice to have: verifiable security and privacy controls
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