Job Overview
Location
US, CA, Remote
Job Type
Full-time
Category
Software Engineering
Date Posted
May 27, 2026
Full Job Description
đź“‹ Description
- • Lead cross-functional technical programs across product, engineering, platform, ecosystem, and go-to-market teams to align execution and deliver measurable outcomes.
- • Drive planning and execution for cloud and software platform roadmaps, including integration paths, release readiness, and dependency management across technical workstreams.
- • Build coordinated plans for early product proof points, customer-facing workflows, and high-visibility technical demonstrations to validate and showcase platform capabilities.
- • Align internal teams and external partners on readiness criteria, dependency closure, enablement materials, and handoffs from pilot to scale.
- • Clarify priorities, surface tradeoffs, drive decisions, and maintain consistent operating rhythms across complex, ambiguous technical programs with multiple collaborators.
- • Help mature early-stage initiatives into repeatable, scalable offerings that customers and partners can adopt with confidence.
- • Manage release readiness and delivery timelines for software and cloud platforms, ensuring alignment between engineering deliverables and market requirements.
- • Facilitate decision-making processes to resolve cross-team blockers and ensure timely progress toward technical and business objectives.
- • Collaborate with architecture, field-facing teams, and partner organizations to ensure technical alignment and successful adoption of NVIDIA’s DSX Sim platform.
- • Establish and refine operational frameworks that enable technical teams to execute effectively in fast-changing, high-stakes environments.
- • Translate ambiguous product direction into structured, executable plans with clear ownership, milestones, and success metrics.
- • Support the evolution of technical assets and workflows to enable scalable, repeatable product delivery across diverse customer and partner use cases.
- • Ensure that platform readiness, partner enablement, and customer adoption goals are integrated into program timelines and tracked through measurable outcomes.
- • Work closely with engineering and product teams to define and prioritize dependencies that impact release schedules and customer delivery.
- • Communicate program status, risks, and progress to senior technical and business leaders with clarity and influence.
- • Contribute to the maturation of NVIDIA’s DSX Sim platform by embedding structured program management practices into its development and go-to-market lifecycle.
🎯 Requirements
- • Bachelor’s degree in Computer Science, Engineering, Business, or a related field, or equivalent experience.
- • 8+ years of technical program management experience in software, cloud, platform, infrastructure, or other complex engineering environments.
- • Proven ability to lead cross-functional execution across product, engineering, architecture, partner, and field-facing teams.
- • Experience crafting structure in ambiguous technical programs with many dependencies, collaborators, and delivery achievements.
- • Strong communication skills, sound judgment, and the ability to influence senior technical and business leaders.
- • Track record of driving release readiness, dependency management, decision-making, and measurable product outcomes.
🏖️ Benefits
- • Eligibility for equity compensation.
- • Access to NVIDIA’s comprehensive benefits package, including health, wellness, and retirement offerings.
- • Base salary range of $168,000–$258,750 USD for Level 4, or $200,000–$322,000 USD for Level 5.
- • Opportunity to work on cutting-edge AI, simulation, and accelerated computing technologies.
Skills & Technologies
Senior
Remote
Degree Required
About NVIDIA Corporation
NVIDIA Corporation designs and supplies graphics processing units, system-on-chips, and AI infrastructure hardware and software. Founded in 1993, the Santa Clara-based company serves gaming, data center, professional visualization, and automotive markets. Its products include GeForce GPUs, RTX graphics cards, Tesla and A100 accelerators, Jetson edge AI modules, and the CUDA parallel computing platform. NVIDIA also develops Omniverse for 3D simulation and collaborates on autonomous vehicle and robotics technologies.
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