Lead complex, cross‑functional programs for inference platform delivery, customer onboarding, launch readiness, and runtime optimization within CoreWeave’s AI/ML Platform Services organization.
Compensation
The base salary range for this role is $177,000 to $237,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
Responsibilities
Drive end‑to‑end program management for inference platform initiatives spanning reliability, customer onboarding, launch readiness, and runtime optimization.
Lead cross‑functional programs for customer onboarding across dedicated and serverless inference offerings.
Drive launch readiness for new inference capabilities by aligning teams around real customer outcomes, supportability, and end‑to‑end validation.
Partner with engineering and product to define and deliver roadmap outcomes for latency, throughput, uptime, operational quality, and price‑performance.
Coordinate multi‑team execution across platform, infrastructure, and customer‑facing teams to deliver reliable and scalable inference services.
Requirements
Bachelor’s degree in a technical field or equivalent practical experience
Senior C++ Developer focused on 3D asset optimization for non-gaming clients, working on geometry algorithms, performance, and cloud deployment.
Compensation
Base Salary Range: We determine the base salary range for this role based on your primary work location:
Zone A: CA$125,300 - CA$175,300 CAD gross
Zone B: CA$135,400 - CA$203,000 CAD gross
Responsibilities
Work on geometry algorithms behind asset import and optimization
Improve handling of imperfect input
Solve for robustness, memory footprint, and runtime at scale
Translate published geometry research into production C++
Senior Solutions Architect to design, build, and optimize AI training solutions using NVIDIA GPU hardware and software on cloud platforms.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
Responsibilities
Work with Cloud Service Providers to design, build, and demonstrate scalable AI training solutions using NVIDIA hardware and software.
Lead technical engagements across foundation model pre-training and post-training, helping customers move from architecture and proofs of concept to production adoption.
Develop and optimize end-to-end training workflows spanning data preparation, distributed training, checkpointing, and evaluation, including reinforcement learning pipelines.
Build customer-specific proofs of concept that address critical technical and business needs, demonstrating improvements in training performance, reliability, and efficiency.
Help customers diagnose and resolve bottlenecks across GPU compute, memory, communication, networking, storage, and workload orchestration.
Requirements
BS, MS, or PhD in Computer Science, Electrical or Computer Engineering, Statistics, Physics, or a related technical field, or equivalent experience.
The Principal Product Manager will own a major slice of the HPE Private Cloud AI platform end to end, from GPU compute and AI fabric to the AI software stack developers use every day.
Locations (3)
Colorado, United States
Massachusetts, United States
Texas, United States
Compensation
Annual Salary USD 165,500 - 313,500 in Colorado // 178,000 - 339,000 in Massachusetts // 157,000 - 361,000 in Texas
Responsibilities
Own strategy and roadmap for Private Cloud AI area across GPU compute, AI networking, and the AI software stack
Define the platform across layers: GPU accelerator configurations, Spectrum-X and InfiniBand fabrics, storage, Kubernetes orchestration, scheduling
Drive features that raise utilization-to-value, such as GPU sharing, fair-share quotas, and multi-tenant isolation
Lead and develop a team of software engineers focused on toolpathing for laser metal additive manufacturing, driving process improvement, architecture, and roadmap execution.
Compensation
The annual base salary range for this position is $164,000 to $226,000.
Responsibilities
Lead and develop a team of 5 software engineers, with the expectation that the team grows as the platform scales.
Establish and own a structured software development lifecycle: sprint planning, release management, verification, and validation.
Drive the team from reactive, ad-hoc delivery toward roadmap-driven execution using Scrum best practices.
Build a culture of documentation, code quality, accountability, and engineering craftsmanship.
Provide hands‑on technical mentorship, enabling engineers to grow and succeed in a complex, high‑performance codebase.
Requirements
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field (or equivalent experience)
Nice to have: proficiency in modern C++ (C++14 or later)
Nice to have: experience with computational geometry
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level.
Responsibilities
Define the vision for onboard GPU compute and scheduling
Own the strategy for maximizing compute efficiency across vehicles
Collaborate with Perception, Prediction, Planning, ML Infrastructure, and Hardware teams
Serve as a senior technical voice for onboard compute across the company
Field CTO - AI Infrastructure & Neocloud, Americas (Bay Area-based)WEKA · US+1 more
Staff Technical Program Manager, InferenceCoreWeave · Bellevue, US
Manager, Software EngineeringVulcanForms Inc. · Devens, US
Staff Software Engineer - GPU System Software, Onboard ExecutionZoox · Foster City, US
Engineering Manager - Compute and Data Platform (AI Platform)Wayve · London, United Kingdom