Python jobs

Santa Clara, California, United States
On-site
Full-time · Manager
$180K–$247K per year
5+ years

Lead enterprise data platform architecture and design for semiconductor equipment and AI-ready data solutions.

Compensation

$179,500.00 - $246,500.00

Responsibilities

Architect and design complex, enterprise-scale Data Platform, Data Lake and Lakehouse solutions
Provide end-to-end architecture and technical leadership across cloud data platforms
Lead resolution of complex cross-platform production issues
Establish architecture and operating standards for monitoring, observability, data quality
Ensure new capabilities are designed for Day-2 production operations

Requirements

Bachelor's degree in Computer Science or related field
Nice to have: Azure
Nice to have: AWS
Nice to have: GCP
Nice to have: Delta Lake

Benefits

Comprehensive benefits package
Health insurance
Retirement plan
Paid time off
Remote stipend

Principal Data and Platform Engineer, DGX Cloud

NVIDIA · Posted Nov 10, 2026

Santa Clara, California, United States
Principal
$248K–$391K per year
16+ years

Lead expert in data and platform engineering for NVIDIA’s DGX Cloud organization, responsible for building, managing, and operating the DGXC Data Platform.

Compensation

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 248,000 USD – 391,000 USD. You will also be eligible for equity and benefits.

Responsibilities

Define architecture and multiyear technical roadmap
Lead delivery across platform engineers, data producers, and consumers
Build and operate reusable batch and streaming ingestion capabilities
Establish shared identifiers, data contracts, and automated quality capabilities
Guide cataloging, lineage, and governed access

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field

AI Computing Software Developer - New College Graduate 2027

NVIDIA · Posted Nov 10, 2026

Taipei, Taiwan, Taiwan
On-site
Internship · Intern

Python PyTorch C++LLM inference operations GPU acceleration compiler or performance optimization TensorRT-LLM CUDA GPU

Internship role focused on AI computing software development, specifically either TensorRT-LLM inference optimization or TensorRT Compiler graph optimization to push GPU performance for Generative AI.

Responsibilities

Build and enhance high‑performance LLM inference pipelines on key LLM models.
Analyze and optimize LLM model execution, scalability, and memory use.
Collaborate across framework and research teams to deliver efficient multi‑GPU model serving for Agentic AI workloads.
Work on the TensorRT compiler backend to improve graph transformations and code generation for NVIDIA GPUs.
Develop compiler optimization passes, refine operator fusion, and optimize memory usage.

Requirements

Master or higher degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics or related computing focused degree

Skills

Software Engineer

Odaia Intelligence Inc. · Posted Nov 9, 2026

Remote, Canada +3 more
Remote
3+ years

React TypeScript Python AWS Kubernetes Snowflake PostgreSQL DuckDB DataFusion CI feature flags instrumentation coding agents Claude Code

Locations (4)

Vancouver, British Columbia, Canada
Toronto, Ontario, Canada
Canada
United States

Responsibilities

Own well-defined product capabilities end-to-end
Work AI-first using Claude Code and other coding agents
Build accessible, responsive React and TypeScript experiences
Design and maintain APIs and backend services
Build, deploy, and operate applications on AWS and Kubernetes

Skills

Benefits

health benefits
stock options
flexible time off

Senior Software Engineer

Odaia Intelligence Inc. · Posted Nov 9, 2026

Remote, Canada +3 more
Remote
Senior
6+ years

React TypeScript AWS Lambda Kubernetes Snowflake PostgreSQL DuckDB DataFusion Python API design coding agents frontend performance backend services cloud architecture

Own significant product capabilities end-to-end, from ambiguous problem framing through design, implementation, deployment, and iteration with minimal oversight

Locations (4)

Vancouver, British Columbia, Canada
Toronto, Ontario, Canada
Canada
United States

Responsibilities

Own significant product capabilities end-to-end, from ambiguous problem framing through design, implementation, deployment, and iteration with minimal oversight
Build accessible, data-rich user experiences with React and TypeScript that make complex commercial and healthcare insights clear and actionable
Build and maintain real-time computation services (AWS Lambda) that serve scores and calculations on-demand to the customer-facing app, with an eye toward latency, reliability, and cost at scale
Design and maintain reliable, scalable APIs and backend services connecting ODAIA’s data, ML, analytics, and agentic capabilities to customer-facing products
Work across our stack: AWS, Kubernetes, Snowflake, PostgreSQL, and embedded analytical engines like DuckDB and DataFusion

Skills

Benefits

Meaningful stock option grants
Immediate medical/dental enrollment
Flexible time off

Principal Software Engineer, Cloud Infrastructure

NVIDIA · Posted Nov 9, 2026

Santa Clara, California, United States
Full-time · Principal
$272K–$431K per year
15+ years

Lead architecture and implementation of large-scale OpenStack infrastructure for NVIDIA’s cloud and bare‑metal platforms.

Compensation

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD.

Responsibilities

Own architecture and lead implementation of large-scale OpenStack infrastructure supporting bare-metal provisioning, virtual machines, and engineering workloads spanning several datacenters around the globe.
Architect and implement Infrastructure as Code frameworks to automate provisioning, configuration, and lifecycle management across OpenStack and bare-metal environments.
Build and improve compute control planes, resource scheduling, topology-aware placement, reservations, and capacity management for heterogeneous hardware.
Develop and extend OpenStack services and integrations, including Nova, Neutron, Ironic, Cinder, Keystone, and Placement.
Improve platform scalability, availability, and performance through architectural changes, profiling, failure analysis, and detailed elimination of operational bottlenecks.

Requirements

BS or MS in Computer Science, Computer Engineering, or a related field, or equivalent experience

Skills

Python OpenStack Nova Neutron Ironic Cinder Keystone Placement Linux KVM/QEMU containers virtualization networking VLANs overlays DHCP PXE routing MySQL/MariaDB RabbitMQ Ceph

Solutions Architect – OEM AI

NVIDIA · Posted Nov 9, 2026

Santa Clara, California, United States
Full-time · Senior
$152K–$288K per year
5+ years

Solutions Architecture Data Science AI Research supervised and unsupervised machine learning deep learning statistics Python C/C++Bash Linux big data AI frameworks GPU acceleration Spark distributed computing Splunk Cisco's AI threat protection

This role focuses on scaling the efficiency of our information and protection integrations, ensuring our customers and partners are equipped to build the future of innovative defense.

Compensation

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

Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets.
Develop proof-of-concept discussions that assist and illustrate how to address accelerated and AI compute workloads to tackle real customer issues.
Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies.
Guide the development of Agentic AI workflows, including semantic search, retrieval-augmented generation (RAG), and Graph Neural Network (GNN) based applications for threat detection.
Translate complex AI and cybersecurity research into actionable, deployable architectures for enterprise and government customers.

Requirements

BS, MS, or PhD in Computer Science
AI Engineering
Data Science
Nice to have: Morpheus
Nice to have: RAPIDS

Skills

Benefits

highly competitive salaries
comprehensive benefits package

Principal Software Engineer

Microsoft · Posted Nov 10, 2026

Redmond, Washington, United States +2 more
Principal
$143K–$275K per year
6+ years

Design, build, and evolve the MDASH scanning engine, integrating AI agents and models to analyze codebases, detect vulnerabilities, and generate fixes.

Locations (3)

Redmond, Washington, United States
San Francisco, California, United States
New York, New York, United States

Compensation

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Responsibilities

Design, build, and evolve the MDASH scanning engine, including agent orchestration, multi-model routing, code understanding, vulnerability detection, reachability validation, and fix generation and verification.
Extend the engine's coverage across vulnerability classes, programming languages, frameworks, build systems, and codebase sizes, from single services to large monorepos.
Integrate program analysis techniques into agent workflows to make detections more precise and grounded.
Improve the engine's precision, recall, consistency, and fix quality, working from evaluation results, research findings, and production feedback.
Optimize scan performance, scalability, cost, and latency so MDASH works well on enterprise-scale codebases and in CI/CD workflows.

Requirements

Bachelor's Degree in Computer Science or related technical field
Master's Degree in Computer Science or related technical field
Nice to have: Master's Degree in Computer Science or related technical field
Nice to have: 8+ years technical engineering experience
Nice to have: 12+ years technical engineering experience

engineer senior, SRE - ST

Starbucks · Posted Nov 10, 2026

Nashville, Tennessee, United States
Hybrid
Full-time · Senior
4–8 years

As the senior Site Reliability Engineer you will ensure the reliability, availability, and performance of critical Starbucks technology platforms. You will design and put in place reliability and observability solutions, automate operational work to reduce manual effort, lead incident response and blameless post-incident reviews, and partner with engineering teams to build systems that are resilient, scalable, secure, and ready for peak business demand.

Responsibilities

Ensure Reliability: Design and build for system availability, performance, resilience, and operational readiness across critical platforms.
Engineer for Scale: Automate operations, build and improve observability, and find and remove the root causes of recurring issues and toil.
Champion SRE Practices: Apply and help shape standards for incident management, SLOs, capacity planning, and recovery, and mentor other engineers on SRE best practices.

Requirements

Bachelor’s degree in Computer Science or related field
Nice to have: Hands-on experience building, operating, and troubleshooting reliable distributed systems in production at scale

Benefits

medical
dental
vision
basic and supplemental life insurance
voluntary insurance benefits

engineer lead (Java)

Starbucks · Posted Nov 9, 2026

Seattle, Washington, United States
Hybrid
Full-time · Lead
7–10 years

Python Java large-scale distributed systems client-server architectures microservices containerization Kafka Cassandra Microsoft Azure AWS Google Cloud system administration network administration systems engineering 24x7 production environments AI-driven development frameworks GitHub Copilot Cursor

This job contributes to Starbucks success by delivering high-quality, reliable, and stable technologies and security capabilities in support of the Starbucks Engineering Platform. This position is accountable for the installation, configuration, monitoring, analysis, maintenance, and technical support of the platform.

Responsibilities

Leading and guiding the team to deliver business features
Communicates highly complex ideas and concepts to non-technical peers and customers
Establish cross-functional, collaborative relationships with business and technology partners
Support the development team and perform activities to resolve developer issues in a timely and accurate fashion
Engineer build and release processes

Requirements

Bachelor’s degree in computer science or related field
Nice to have: designing, analyzing and troubleshooting large-scale distributed systems
Nice to have: application development
Nice to have: supporting development environments
Nice to have: SOX

Skills

Benefits

medical
dental
vision
basic life insurance
supplemental life insurance

Data Solutions Architect - Data Platform, Data Products & AI-Ready Data

Applied Materials · Posted Nov 9, 2026

Santa Clara, California, United States
On-site
Full-time · Manager
$180K–$247K per year
5+ years

Lead enterprise data platform architecture and design for semiconductor equipment and AI-ready data solutions.

Compensation

$179,500.00 - $246,500.00

Responsibilities

Architect and design complex, enterprise-scale Data Platform, Data Lake and Lakehouse solutions
Provide end-to-end architecture and technical leadership across cloud data platforms
Lead resolution of complex cross-platform production issues
Establish architecture and operating standards for monitoring, observability, data quality
Ensure new capabilities are designed for Day-2 production operations

Requirements

Bachelor's degree in Computer Science or related field
Nice to have: Azure
Nice to have: AWS
Nice to have: GCP
Nice to have: Delta Lake

Benefits

Comprehensive benefits package
Health insurance
Retirement plan
Paid time off
Remote stipend

Principal Data and Platform Engineer, DGX Cloud

NVIDIA · Posted Nov 10, 2026

Santa Clara, California, United States
Principal
$248K–$391K per year
16+ years

Lead expert in data and platform engineering for NVIDIA’s DGX Cloud organization, responsible for building, managing, and operating the DGXC Data Platform.

Compensation

Responsibilities

Define architecture and multiyear technical roadmap
Lead delivery across platform engineers, data producers, and consumers
Build and operate reusable batch and streaming ingestion capabilities
Establish shared identifiers, data contracts, and automated quality capabilities
Guide cataloging, lineage, and governed access

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field

AI Computing Software Developer - New College Graduate 2027

NVIDIA · Posted Nov 10, 2026

Taipei, Taiwan, Taiwan
On-site
Internship · Intern

Python PyTorch C++LLM inference operations GPU acceleration compiler or performance optimization TensorRT-LLM CUDA GPU

Responsibilities

Build and enhance high‑performance LLM inference pipelines on key LLM models.
Analyze and optimize LLM model execution, scalability, and memory use.
Collaborate across framework and research teams to deliver efficient multi‑GPU model serving for Agentic AI workloads.
Work on the TensorRT compiler backend to improve graph transformations and code generation for NVIDIA GPUs.
Develop compiler optimization passes, refine operator fusion, and optimize memory usage.

Requirements

Master or higher degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics or related computing focused degree

Skills

Software Engineer

Odaia Intelligence Inc. · Posted Nov 9, 2026

Remote, Canada +3 more
Remote
3+ years

React TypeScript Python AWS Kubernetes Snowflake PostgreSQL DuckDB DataFusion CI feature flags instrumentation coding agents Claude Code

Locations (4)

Vancouver, British Columbia, Canada
Toronto, Ontario, Canada
Canada
United States

Responsibilities

Own well-defined product capabilities end-to-end
Work AI-first using Claude Code and other coding agents
Build accessible, responsive React and TypeScript experiences
Design and maintain APIs and backend services
Build, deploy, and operate applications on AWS and Kubernetes

Skills

Benefits

health benefits
stock options
flexible time off

Senior Software Engineer

Odaia Intelligence Inc. · Posted Nov 9, 2026

Remote, Canada +3 more
Remote
Senior
6+ years

React TypeScript AWS Lambda Kubernetes Snowflake PostgreSQL DuckDB DataFusion Python API design coding agents frontend performance backend services cloud architecture

Own significant product capabilities end-to-end, from ambiguous problem framing through design, implementation, deployment, and iteration with minimal oversight

Locations (4)

Vancouver, British Columbia, Canada
Toronto, Ontario, Canada
Canada
United States

Responsibilities

Own significant product capabilities end-to-end, from ambiguous problem framing through design, implementation, deployment, and iteration with minimal oversight
Build accessible, data-rich user experiences with React and TypeScript that make complex commercial and healthcare insights clear and actionable
Build and maintain real-time computation services (AWS Lambda) that serve scores and calculations on-demand to the customer-facing app, with an eye toward latency, reliability, and cost at scale
Design and maintain reliable, scalable APIs and backend services connecting ODAIA’s data, ML, analytics, and agentic capabilities to customer-facing products
Work across our stack: AWS, Kubernetes, Snowflake, PostgreSQL, and embedded analytical engines like DuckDB and DataFusion

Skills

Benefits

Meaningful stock option grants
Immediate medical/dental enrollment
Flexible time off

Principal Software Engineer, Cloud Infrastructure

NVIDIA · Posted Nov 9, 2026

Santa Clara, California, United States
Full-time · Principal
$272K–$431K per year
15+ years

Lead architecture and implementation of large-scale OpenStack infrastructure for NVIDIA’s cloud and bare‑metal platforms.

Compensation

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD.

Responsibilities

Own architecture and lead implementation of large-scale OpenStack infrastructure supporting bare-metal provisioning, virtual machines, and engineering workloads spanning several datacenters around the globe.
Architect and implement Infrastructure as Code frameworks to automate provisioning, configuration, and lifecycle management across OpenStack and bare-metal environments.
Build and improve compute control planes, resource scheduling, topology-aware placement, reservations, and capacity management for heterogeneous hardware.
Develop and extend OpenStack services and integrations, including Nova, Neutron, Ironic, Cinder, Keystone, and Placement.
Improve platform scalability, availability, and performance through architectural changes, profiling, failure analysis, and detailed elimination of operational bottlenecks.

Requirements

BS or MS in Computer Science, Computer Engineering, or a related field, or equivalent experience

Skills

Python OpenStack Nova Neutron Ironic Cinder Keystone Placement Linux KVM/QEMU containers virtualization networking VLANs overlays DHCP PXE routing MySQL/MariaDB RabbitMQ Ceph

Solutions Architect – OEM AI

NVIDIA · Posted Nov 9, 2026

Santa Clara, California, United States
Full-time · Senior
$152K–$288K per year
5+ years

This role focuses on scaling the efficiency of our information and protection integrations, ensuring our customers and partners are equipped to build the future of innovative defense.

Compensation

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

Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets.
Develop proof-of-concept discussions that assist and illustrate how to address accelerated and AI compute workloads to tackle real customer issues.
Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies.
Guide the development of Agentic AI workflows, including semantic search, retrieval-augmented generation (RAG), and Graph Neural Network (GNN) based applications for threat detection.
Translate complex AI and cybersecurity research into actionable, deployable architectures for enterprise and government customers.

Requirements

BS, MS, or PhD in Computer Science
AI Engineering
Data Science
Nice to have: Morpheus
Nice to have: RAPIDS

Skills

Benefits

highly competitive salaries
comprehensive benefits package

Principal Software Engineer

Microsoft · Posted Nov 10, 2026

Redmond, Washington, United States +2 more
Principal
$143K–$275K per year
6+ years

Design, build, and evolve the MDASH scanning engine, integrating AI agents and models to analyze codebases, detect vulnerabilities, and generate fixes.

Locations (3)

Redmond, Washington, United States
San Francisco, California, United States
New York, New York, United States

Compensation

Responsibilities

Design, build, and evolve the MDASH scanning engine, including agent orchestration, multi-model routing, code understanding, vulnerability detection, reachability validation, and fix generation and verification.
Extend the engine's coverage across vulnerability classes, programming languages, frameworks, build systems, and codebase sizes, from single services to large monorepos.
Integrate program analysis techniques into agent workflows to make detections more precise and grounded.
Improve the engine's precision, recall, consistency, and fix quality, working from evaluation results, research findings, and production feedback.
Optimize scan performance, scalability, cost, and latency so MDASH works well on enterprise-scale codebases and in CI/CD workflows.

Requirements

Bachelor's Degree in Computer Science or related technical field
Master's Degree in Computer Science or related technical field
Nice to have: Master's Degree in Computer Science or related technical field
Nice to have: 8+ years technical engineering experience
Nice to have: 12+ years technical engineering experience

engineer senior, SRE - ST

Starbucks · Posted Nov 10, 2026

Nashville, Tennessee, United States
Hybrid
Full-time · Senior
4–8 years

Responsibilities

Ensure Reliability: Design and build for system availability, performance, resilience, and operational readiness across critical platforms.
Engineer for Scale: Automate operations, build and improve observability, and find and remove the root causes of recurring issues and toil.
Champion SRE Practices: Apply and help shape standards for incident management, SLOs, capacity planning, and recovery, and mentor other engineers on SRE best practices.

Requirements

Bachelor’s degree in Computer Science or related field
Nice to have: Hands-on experience building, operating, and troubleshooting reliable distributed systems in production at scale

Benefits

medical
dental
vision
basic and supplemental life insurance
voluntary insurance benefits

engineer lead (Java)

Starbucks · Posted Nov 9, 2026

Seattle, Washington, United States
Hybrid
Full-time · Lead
7–10 years

Responsibilities

Leading and guiding the team to deliver business features
Communicates highly complex ideas and concepts to non-technical peers and customers
Establish cross-functional, collaborative relationships with business and technology partners
Support the development team and perform activities to resolve developer issues in a timely and accurate fashion
Engineer build and release processes

Requirements

Bachelor’s degree in computer science or related field
Nice to have: designing, analyzing and troubleshooting large-scale distributed systems
Nice to have: application development
Nice to have: supporting development environments
Nice to have: SOX

Skills

Benefits

medical
dental
vision
basic life insurance
supplemental life insurance