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60 Warp Data Scientist Jobs Hiring Near You

Coherent Corp.

Lab Technician Day Shift C

Hillsborough, NJ · On-site

$19 - $25.25/hr

Measuring weight/thickness/warp of wafers accurately * Performing some data analysis * Prepping ... Associate degree in a technical/engineering/scientific field Experience: * Minimum 2+ years ...

Coherent Corp.

Lab Technician Night Shift D

Hillsborough, NJ · On-site

$19 - $25.25/hr

Measuring weight/thickness/warp of wafers accurately * Performing some data analysis * Prepping ... Associate degree in a technical/engineering/scientific field Experience: * Minimum 2+ years ...

1X

Software Engineer - Simulation

San Carlos, CA · On-site

... Science or a related field • Physics simulation depth understanding what makes a simulator ... data production • Familiarity with differentiable simulation or GPU-accelerated physics (Warp ...

Nvidia

Senior Compiler Engineer - Rust GPU

Santa Clara, CA · On-site

$143K - $189K/yr

... data races and enforcing memory safety during asynchronous GPU execution. * Expose Next-Gen ... D. in Computer Science, Computer Engineering, a related field, or equivalent experience. * 5+ years ...

Coherent Corp.

Lab Technician - Day Shift A

Hillsborough, NJ · On-site

$19 - $25.25/hr

Measuring weight/thickness/warp of wafers accurately * Performing some data analysis * Prepping ... Associate degree in a technical/engineering/scientific field Experience: * Minimum 2+ years ...

Remitly

Software Developer Engineer II, WARP

Burnaby, BC · On-site

CA$124K - CA$155K/yr

You'll collaborate closely with cross-functional partners in product, program management, data ... A Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience ...

Nvidia

Senior Compiler Engineer - Rust GPU

Austin, TX · On-site

$121K - $160K/yr

... data races and enforcing memory safety during asynchronous GPU execution. * Expose Next-Gen ... D. in Computer Science, Computer Engineering, a related field, or equivalent experience. * 5+ years ...

Coherent

Lab Technician - Day Shift A

Hillsborough, NJ

$19 - $25.25/hr

Measuring weight/thickness/warp of wafers accurately * Performing some data analysis * Prepping ... Associate degree in a technical/engineering/scientific field Experience: * Minimum 2+ years ...

Coherent

Lab Technician Day Shift C

Hillsborough, NJ

$19 - $25.25/hr

Measuring weight/thickness/warp of wafers accurately * Performing some data analysis * Prepping ... Associate degree in a technical/engineering/scientific field Experience: * Minimum 2+ years ...

Coherent

Lab Technician - Night Shift B

Hillsborough, NJ

$19 - $25.25/hr

Measuring weight/thickness/warp of wafers accurately * Performing some data analysis * Prepping ... Associate degree in a technical/engineering/scientific field Experience: * Minimum 2+ years ...

Coherent

Lab Technician Night Shift D

Hillsborough, NJ

$19 - $25.25/hr

Measuring weight/thickness/warp of wafers accurately * Performing some data analysis * Prepping ... Associate degree in a technical/engineering/scientific field Experience: * Minimum 2+ years ...

Nvidia

Senior Compiler Engineer - Rust GPU

Seattle, WA · On-site

$139K - $183K/yr

... data races and enforcing memory safety during asynchronous GPU execution. * Expose Next-Gen ... D. in Computer Science, Computer Engineering, a related field, or equivalent experience. * 5+ years ...

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Staff Software Engineer - GenAI Performance and Kernel

Databricks

San Francisco, CA • On-site

$164K/yr

Full-time

Re-posted 19 days ago

Job description

Job Summary:
Databricks is the data and AI company, and they are seeking a Staff Software Engineer for GenAI Performance and Kernel. In this role, you will own the design and optimization of high-performance GPU kernels for GenAI inference, leading development and mentoring others in performance engineering.
Responsibilities:
• Lead the design, implementation, benchmarking, and maintenance of core compute kernels (e.g. attention, MLP, softmax, layernorm, memory management) optimized for various hardware backends (GPU, accelerators)
• Drive the performance roadmap for kernel-level improvements: vectorization, tensorization, tiling, fusion, mixed precision, sparsity, quantization, memory reuse, scheduling, auto-tuning, etc.
• Integrate kernel optimizations with higher-level ML systems
• Build and maintain profiling, instrumentation, and verification tooling to detect correctness, performance regressions, numerical issues, and hardware utilization gaps
• Lead performance investigations and root-cause analysis on inference bottlenecks, e.g. memory bandwidth, cache contention, kernel launch overhead, tensor fragmentation
• Establish coding patterns, abstractions, and frameworks to modularize kernels for reuse, cross-backend portability, and maintainability
• Influence system architecture decisions to make kernel improvements more effective (e.g. memory layout, dataflow scheduling, kernel fusion boundaries)
• Mentor and guide other engineers working on lower-level performance, provide code reviews, help set best practices
• Collaborate with infrastructure, tooling, and ML teams to roll out kernel-level optimizations into production, and monitor their impact
Qualifications:
Required:
• BS/MS/PhD in Computer Science, or a related field
• Deep hands-on experience writing and tuning compute kernels (CUDA, Triton, OpenCL, LLVM IR, assembly or similar sort) for ML workloads
• Strong knowledge of GPU/accelerator architecture: warp structure, memory hierarchy (global, shared, register, L1/L2 caches), tensor cores, scheduling, SM occupancy, etc.
• Experience with advanced optimization techniques: tiling, blocking, software pipelining, vectorization, fusion, loop transformations, auto-tuning
• Familiarity with ML-specific kernel libraries (cuBLAS, cuDNN, CUTLASS, oneDNN, etc.) or open kernels
• Strong debugging and profiling skills (Nsight, NVProf, perf, vtune, custom instrumentation)
• Experience reasoning about numerical stability, mixed precision, quantization, and error propagation
• Experience in integrating optimized kernels into real-world ML inference systems; exposure to distributed inference pipelines, memory management, and runtime systems
• Experience building high-performance products leveraging GPU acceleration
• Excellent communication and leadership skills — able to drive design discussions, mentor colleagues, and make trade-offs visible
• A track record of shipping performance-critical, high-quality production software
Preferred:
• Bonus: published in systems/ML performance venues (e.g. MLSys, ASPLOS, ISCA, PPoPP), experience with custom accelerators or FPGA, experience with sparsity or model compression techniques
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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