Top Tech Jobs & Startup Jobs

Lead manufacturing cost accounting including inventory, fixed assets, and COGS. Build and scale standard costing, cost roll-ups, and controls for IPO readiness. Analyze manufacturing variances, partner with Supply Chain, Sales, and R&D, and deliver COGS and margin reporting to leadership.

Lead and scale global IT: own enterprise systems, infrastructure, security partnerships, end-user experience, and IT operations. Drive strategy, roadmaps for business applications, integrations, automation, and internal service delivery while partnering with cross-functional leaders to support rapid AI hardware and software growth.

Lead hardware-software co-design to enable AI/HPC and agentic AI stacks on RISC-V CPUs. Integrate and optimize low-level kernel infrastructure, runtimes, distributed execution, memory systems, and developer tools, collaborating with architects, compiler engineers, and kernel developers to meet performance targets.

Own multi-layer PCB layouts for high-performance AI and computing products. Route high-speed interfaces (GDDR/LPDDR/DDR, PCIe Gen5/6, Ethernet, USB), apply layout rules, select advanced fabrication (HDI, blind/buried vias, back drilling, VIPPO), collaborate with power, SI, and mechanical teams, and resolve DFM/DFA/DFT feedback to meet manufacturability and regulatory standards.

Design, deploy, and operate global data center networks for AI compute clusters. Manage switches, routers, firewalls, and lossless RDMA fabrics, troubleshoot production incidents, collaborate with hardware and platform teams, and build automation for scalable, secure, high-performance network provisioning and operations.

Lead the development of AI compiler tools, enhance performance analysis, collaborate with hardware teams, and mentor engineers to improve compiler tooling.

Develop and maintain infrastructure platforms for AI services, build APIs, manage Kubernetes clusters, and automate workflows using CI/CD practices.

Select and qualify electronic components for high-performance AI compute systems, maintain Approved Vendor List, drive multi-sourcing and cost optimization, monitor lifecycle and supplier risk, and collaborate with hardware, procurement, and supply teams to ensure component availability for scalable production.

Lead and deliver agentic workflow and program intelligence initiatives: define opportunities, structure ambiguous work into programs, integrate systems and data pipelines, drive automation, partner with engineering, infrastructure, and data teams, and produce executive-ready reporting.

The Risc-V Architect will analyze AI workloads, design custom RISC-V cores, and lead the architecture efforts at Tenstorrent, improving CPU performance.