Lead the commercial and technical strategy for CoreWeave’s inference offerings across the AMER region, driving new customer wins, shaping product roadmap, and translating customer needs into product feedback.
Locations (6)
Bellevue, Washington, United States
Dallas, Texas, United States
Livingston, New Jersey, United States
Manhattan, New York, United States
San Francisco, California, United States
Sunnyvale, California, United States
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. 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
Serve as the AMER field's primary intelligence source on AI inference
Drive commercial and technical strategy in AMER for net new customer wins
Identify new business opportunities in AMER
Develop deep expertise across the AI runtime landscape
Translate customer requirements into product feedback
Requirements
Advanced degree in Computer Science, Machine Learning, or Engineering
Build and lead AI systems that transform innovative models into secure, reliable, and scalable capabilities for scientists across Pfizer.
Compensation
The annual base salary for this position ranges from $139,100.00 to $231,900.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program.
Responsibilities
Own an end-to-end subsystem, platform capability, or workflow
Make sound architecture and design tradeoff decisions
Deliver production-quality software and AI solutions
Drive technical execution for complex projects
Influence engineering standards and best practices
Requirements
PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related technical discipline with 2+ years of relevant experience
Master's degree with 5+ years of relevant experience
Bachelor's degree with 6+ years of relevant experience
Build and deliver production AI systems that enable scientific discovery at Pfizer.
Compensation
The annual base salary for this position ranges from $106,000.00 to $176,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program.
Responsibilities
Own end-to-end subsystem, platform capability, or workflow
Make sound architecture and design tradeoff decisions
Deliver production-quality software and AI solutions
Drive technical execution for complex projects
Influence engineering standards and best practices
Requirements
PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or related discipline
Master's degree with 2+ years of relevant experience
Bachelor's degree with 4+ years of relevant experience
Nice to have: Experience in life sciences, healthcare, biotechnology, or highly regulated industries
Partner with AI-native founders and engineering teams to design, optimize, and scale AI platforms on NVIDIA technologies, focusing on agentic systems, AI copilots, and multimodal AI.
Compensation
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
Serve as a trusted technical advisor to the next generation of AI-native companies building category-defining applications such as developer copilots, AI search engines, agentic platforms, and multimodal creative tools.
Work directly with startup founders and engineering teams to architect and optimize AI workloads using NVIDIA technologies including CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NVIDIA NeMo, NIM microservices, and GPU-accelerated data processing frameworks.
Help AI-native companies scale training and inference infrastructure, optimizing model performance, cost efficiency, and latency across NVIDIA accelerated computing platforms.
Guide startups through complex architectural decisions including model optimization, inference scaling, agent frameworks, multimodal pipelines, and real-time AI systems.
Collaborate closely with NVIDIA engineering, research, product, and go-to-market teams to identify emerging AI-native categories and influence NVIDIA’s platform roadmap.
Requirements
BS/MS degree or equivalent experience in Computer Science, Engineering, or a related field
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
Serve as a trusted technical advisor to the next generation of AI-native companies building category-defining applications such as developer copilots, AI search engines, agentic platforms, and multimodal creative tools.
Work directly with startup founders and engineering teams to architect and optimize AI workloads using NVIDIA technologies including CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NVIDIA NeMo, NIM microservices, and GPU-accelerated data processing frameworks.
Help AI-native companies scale training and inference infrastructure, optimizing model performance, cost efficiency, and latency across NVIDIA accelerated computing platforms.
Guide startups through complex architectural decisions including model optimization, inference scaling, agent frameworks, multimodal pipelines, and real-time AI systems.
Collaborate closely with NVIDIA engineering, research, product, and go-to-market teams to identify emerging AI-native categories and influence NVIDIA’s platform roadmap.
Requirements
BS/MS degree or equivalent experience in Computer Science, Engineering, or a related field
Nice to have: building or scaling AI-powered products
Architect and co-design ML models with traders, quant researchers, and software engineers, shape custom hardware roadmap, implement and deploy ML inference solutions, evaluate emerging research in neural architecture search and quantization.
Locations (2)
Chicago, Illinois, United States
New York, United States
Compensation
$200,000—$225,000 USD
Responsibilities
Architect and co-design ML models with traders, quant researchers, and software engineers, treating hardware constraints as first-class design inputs
Shape our custom hardware roadmap by translating ML model requirements into concrete architectural decisions
Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production
Track and evaluate emerging research in neural architecture search, machine learning systems and quantization methods, and determine what translates to measurable improvements in our systems
Advanced degree (MS or PhD) in EE, CS, Physics, or related field
Nice to have: Exposure to ML compiler infrastructure such as MLIR, TVM, XLA, or similar tools
Nice to have: Background in latency-sensitive or resource-constrained systems including high-frequency trading, particle physics data acquisition, real-time signal processing
Nice to have: Familiarity with functional verification methodologies (e.g., SystemVerilog, UVM, Cocotb)
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