Tenstorrent · 5 hours ago
Sr. Staff Engineer, Hardware Infrastructure Lead
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. The Engineering Manager will lead the hardware infrastructure team supporting the development of leading-edge RISC-V CPUs, managing tools, methodologies, and compute infrastructure for hardware design teams.
AI InfrastructureApplication Specific Integrated Circuit (ASIC)Artificial Intelligence (AI)ElectronicsMachine LearningSemiconductor
Responsibilities
Lead and grow a team of infrastructure engineers supporting RISC-V CPU design and verification
Define strategy and roadmap for regression infrastructure, build systems, and debug tooling
Partner closely with hardware design leadership to understand requirements and prioritize work
Oversee development and maintenance of CI/CD pipelines for hardware design flows
Establish team processes for incident response and first-line compute support
Drive continuous improvement in build times, regression throughput, and infrastructure reliability
Balance hands-on technical involvement with team development and strategic planning
Recruit, mentor, and develop engineers with diverse technical backgrounds
Communicate infrastructure status, roadmaps, and technical tradeoffs to stakeholders
Qualification
Required
3+ years of engineering management experience, preferably in hardware or infrastructure teams
Strong technical background in hardware design flows, verification, or related infrastructure
Experience with regression frameworks, build systems, and CI/CD methodologies
Understanding of compute infrastructure and HPC environments
Proven ability to build and scale high-performing technical teams
Strong collaboration and communication skills across engineering disciplines
Experience managing on-call rotations and support processes
Comfortable with ambiguity and rapid priority shifts in a startup environment
Preferred
Direct experience with RISC-V or CPU design flows
Background in EDA tools and verification methodologies
Experience with LSF or similar workload managers
Familiarity with commercial HPC storage solutions
Knowledge of containerization and automation technologies
Previous startup experience, especially in hardware or semiconductor companies
Technical depth in areas like SystemVerilog, Python, or hardware debug tools
Benefits
Highly competitive compensation package and benefits
Company
Tenstorrent
Tenstorrent develops AI hardware and software solutions for data processing and machine learning application.
Funding
Current Stage
Late StageTotal Funding
$1.03BKey Investors
FidelityEPIQ Capital GroupEclipse Ventures
2024-12-02Series D· $693M
2023-08-02Series Unknown· $100M
2021-05-20Series C· $200M
Recent News
2026-01-07
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