Technical Program Manager

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At Tensor Wave, we’re leading the charge in AI compute, building a versatile cloud platform that’s driving the next generation of AI innovation. We’re focused on creating a foundation that empowers cutting‑edge advancements in intelligent computing, pushing the boundaries of what’s possible in the AI landscape.

Tensor Wave is seeking an experienced Technical Program Manager to drive the execution of complex AI infrastructure initiatives that power cutting‑edge machine learning workloads. In this role, you'll be the connective tissue between engineering, product, and business teams, ensuring our AMD‑powered AI platform delivers exceptional performance and reliability 'll own the end‑to‑end program lifecycle for critical infrastructure projects, from initial scoping through deployment and iteration, working at the intersection of hardware optimization, distributed systems, and ML operations.

• Lead cross‑functional programs spanning hardware deployment, software infrastructure, and ML platform development, ensuring alignment across engineering, product, and operations teams.
• Define program scope, objectives, and success metrics for AI infrastructure initiatives, from GPU cluster build‑outs to inference optimization projects.
• Drive cross‑functional roadmap planning and prioritization, balancing immediate customer needs with long‑term platform scalability.
• Manage program timelines, dependencies, and resource allocation across multiple concurrent initiatives.
• Translate complex technical tradeoffs into clear business implications for executive leadership and external partners.
• Communicate program status, risks, and blockers through regular updates, maintaining transparency across the organization.
• Identify and mitigate technical and operational risks before they impact delivery timelines or system performance.
• Drive postmortems and retrospectives to capture learnings and continuously improve execution velocity.

• 3+ years of technical program management experience in infrastructure, cloud platforms, or ML/AI systems.
• Strong technical background with ability to engage in architecture discussions around distributed systems, GPU computing, or ML frameworks.
• Proven track record of delivering complex, multi‑quarter programs involving hardware and software components.
• Experience managing cross‑functional initiatives with engineering, product, and business stakeholders.
• Experience with Jira and implementing Jira workflows to match team processes.
• Excellent written and verbal communication skills, with ability to tailor messaging for technical and non‑technical audiences.
• Bachelor's degree in Computer Science, Engineering, or related technical field.
• Reside in, or are open to relocating to Las Vegas, NV.

• Experience with AMD GPU architectures (ROCm, Instinct GPUs) or competitive platforms (NVIDIA CUDA, Google TPUs).
• Background in ML infrastructure, model training/inference pipelines, or MLOps platforms.
• Prior experience at a high‑growth startup or in a fast‑paced infrastructure organization.
• Hands‑on technical experience as a software engineer or systems engineer earlier in career.
• Familiarity with Kubernetes, distributed training frameworks (PyTorch, JAX), or AI workload orchestration.

• Competitive salary.
• Stock options.
• 100% paid medical, dental, and vision insurance.
• Life and voluntary supplemental insurance.
• Short‑term disability insurance.
• Flexible spending account.
• 401(k) plan.
• Flexible PTO.Paid holidays.
• Parental leave.
• Mental health benefits through Spring Health.

• Mid‑Senior level

• Full‑time

• Project Management and Information Technology

• Technology, Information and Internet

Location:

Las Vegas, NV.

We’re looking for resilient, adaptable people to join our team—folks who enjoy collaborating and tackling tough challenges. We’re all about offering real opportunities for growth, letting you dive into complex problems and make a meaningful impact through creative solutions. If you're a driven contributor, we encourage you to explore opportunities to make an impact n us as we redefine the possibilities of intelligent computing.