1260 Sql Python jobs in San Jose,CA

$154,000—$231,000 USD

This role may be eligible for incentive pay and/or equity.

Flexible time off, wellness resources, and company-sponsored team events

Proven mastery of RESTful API design, enterprise integration patterns, and building robust web services for scalable enterprise ecosystems

Hands-on proficiency in Java or Python for backend integration development, script automation, and data pipeline construction

Mastery of data parsing and transformation using XML, JSON, and XSLT, coupled with advanced SQL capabilities for managing relational databases

Deep practical expertise configuring, maintaining, and integrating enterprise PLM systems (e.g., Agile PLM or equivalent platforms) with downstream business applications

Debugging multi-system data flows, conducting code reviews, and delivering secure deployment pipelines within an agile SDLC framework

Your Amazon package will include sign-on payments and restricted stock units (RSUs).

USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D; insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

An environment that celebrates knowledge-sharing and mentorship.

Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews.

Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have.

Bachelor's degree in computer science or equivalent

3+ years of non-internship professional software development experience

3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution.

Software development experience in C++, Python (experience in at least one language is required).

Strong understanding of system performance, memory management, and parallel computing principles.

Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems.

Familiarity with PyTorch, JIT compilation, and AOT tracing.

Familiarity with CUDA kernels or equivalent ML or low-level kernels

Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited.

Familiar with syntax and tile-level semantics similar to Triton.

Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments.

Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing.