NVIDIA Logo

NVIDIA

Senior Software Engineer - Image and Data Processing Libraries

Reposted 5 Days Ago
Remote or Hybrid
Hiring Remotely in CA, USA
224K-357K Annually
Senior level
Remote or Hybrid
Hiring Remotely in CA, USA
224K-357K Annually
Senior level
Design, develop, and optimize GPU- and CPU-accelerated image and data-processing libraries. Perform performance tuning, benchmarking, and optimization across architectures; collaborate with product management and partners; provide technical leadership and guidance to library engineers; and improve library performance and maintainability.
The summary above was generated by AI

Join our multidisciplinary team and help build and improve GPU and CPU accelerated software libraries. Projects like nvComp, NPP, nvJPEG, nvJPEG2000, nvTIFF, nvImageCodec are used in all kinds of processing workflows and support NVIDIA's vision and growth. Starting from powering AI, data analytics, image processing, computer vision, and scientific simulations for leading commercial and academic organizations worldwide. In this role, you will design, develop, and optimize pioneering algorithms. Ideal candidates will have experience with accelerated computing and a passion for advancing the state-of-the-art in various computing domains. If this sounds exciting, we would love to meet you!

What you’ll be doing:

  • developing scalable library software using modern tools and languages for various numerical method

  • performance tuning, optimization, and benchmarking of algorithms on various architectures.

  • working closely with product management and other internal and external partners to understand feature and performance requirements and contributing to the technical roadmaps of libraries,

  • providing technical leadership and guidance to library engineers working with you,

  • find opportunities to improve library performance and abstractions that allow to re-architect code for reduced maintenance cost.

What we need to see:

  • PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience).

  • 12+ years experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms, with GPU acceleration using CUDA

  • Excellent C/C++ programming and software design skills

  • Proven experience in leading and completing software development projects.

  • Excellent collaboration, communication, and documentation habits.

Ways to stand out from the crowd:

  • Good knowledge of CPU and/or GPU hardware architecture,

  • Experience with adopting and advancing, software development practices such as CI/CD systems and project management tools such as JIRA,

  • Experience with working in a globally distributed organization,

  • Advanced skills in debugging, profiling, and testing for accuracy and performance,

  • A scripting language, preferably Python.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

#LI-Hybrid

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 224,000 USD – 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

HQ

NVIDIA Seattle, Washington, USA Office

4545 Roosevelt Way NE 6th Floor, Seattle, Washington, United States, 98105

NVIDIA Bellevue, Washington, USA Office

Bellevue, United States

NVIDIA Redmond, Washington, USA Office

Redmond, United States

Similar Jobs

59 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
Entry level
Entry level
Cloud • Security • Software • Cybersecurity • Automation
Own complex enterprise customer escalations from engagement through resolution, coordinating Engineering, Support, Product, Customer Success, and Sales. Lead executive communications, maintain customer-facing resolution plans, manage commitments, coordinate with Incident Managers, and oversee post-escalation reviews and relationship repair. Develop escalation playbooks and process improvements while providing globally distributed, on-call support for high-severity customer situations.
Top Skills: Ci/CdCloud-Native PlatformsDevsecopsGitlabPagerdutySalesforceSlackZendesk
An Hour Ago
Remote or Hybrid
USA
142K-305K Annually
Senior level
142K-305K Annually
Senior level
Consumer Web • Coupons • Healthtech • Social Impact • Pharmaceutical
Provides independent legal counsel on healthcare regulations, employee benefits agreements, commercial contracts, AI initiatives, and product launches. Reviews pharmacy, telehealth, licensure, fraud and abuse, privacy, and healthcare product risks; negotiates agreements; develops AI governance processes, templates, playbooks, and training; monitors regulatory developments; and coordinates complex matters across legal, product, engineering, privacy, security, compliance, finance, and procurement teams.
Top Skills: Artificial Intelligence (Ai)Telehealth
An Hour Ago
Remote or Hybrid
United States
160K-260K Annually
Expert/Leader
160K-260K Annually
Expert/Leader
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Leads enterprise-scale data architecture across batch, streaming, warehouse, lakehouse, transactional, AI, and vector-store use cases. Establishes data quality, governance, lineage, observability, access-control, and reliability standards. Defines AI-enabled data engineering patterns, mentors engineers, resolves complex architecture issues, and influences cross-functional roadmaps. Requires hands-on technical leadership and 15+ years of software, data engineering, or architecture experience.
Top Skills: DbtGcp Bigquery

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account