TensorWave
Technical Program Manager
Las Vegas, Nevada · Contract
Sponsorship not specifiedDetected 29 days ago
Distributed SystemsCloud PlatformsKubernetesMachine LearningPyTorchMLOpsJiraRoadmappingSystems EngineeringLeadershipCommunicationCollaboration
About the role
- We're looking for a Technical Program Manager to join our team during an exciting phase of growth.
Responsibilities
- Lead cross-functional programs spanning hardware deployment, software infrastructure, and ML platform development, ensuring alignment across engineering, product, and operations teams
- 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
- Drive postmortems and retrospectives to capture learnings and continuously improve execution velocity
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience
- 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
Nice to have
- 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
- Life and Voluntary Supplemental Insurance Options
- Other Insurance Options, such as Pet & Legal Insurance
- Employee Assistance Program
Benefits
- 100% paid Medical, Dental, and Vision insurance for Employees
- Company Health Savings Account Contributions
- 100% paid Short Term and Long Term Disability Insurance for Employees
- Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
- Flexible Spending Account
- Parental Leave
- Other In-Office Perks
Company info
- deliver seamless, secure, reliable, and resilient AI compute at scale.
- We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack.
- Because breakthrough AI should move at the speed of ideas, not infrastructure.
Equal opportunity
- TensorWave is an Equal Opportunity Employer.
- We celebrate diversity and are committed to creating an inclusive environment for all employees.
- We do not discriminate on the basis of any protected status under applicable law.
- Reasonable Accommodations
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This listing is sourced directly from TensorWave's careers page and normalized into a canonical job model.