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Software Engineering CUDA/GPU Developer Professional Multiple Cities
- Wausau, Wisconsin, United States
- Wausau, Wisconsin, United States
Über
Your role and responsibilities As a Software Developer: You will design, develop, test, and deliver offerings using leading-edge and/or proven technologies. You will work in an Agile, collaborative environment to understand stakeholder requirements and contribute to the development of innovative software solutions.
In this specific role, you will get to work on the GPU operator layer that enables accelerated analytics on GPU-accelerated lakehouse. You will help integrate GPU-aware execution into platform components and operators, with deep attention to kernel behavior, runtime efficiency, and productization on OpenShift.
Your primary responsibilities will include:
Develop Component-Level Solutions: Design, code, and test innovative component-level software solutions, ensuring that the implemented solutions are unit tested and ready to be integrated into their product.
Contribute to CI/CD Pipeline: Contribute to the automated CI/CD pipeline that takes code through various quality stages, ensuring seamless integration and delivery.
Debug Customer-Reported Problems: Design, develop, and unit test code fixes for customer-reported problems, collaborating with stakeholders to resolve issues efficiently.
Deliver Offerings: Deliver high-quality offerings using leading-edge and/or proven technologies, meeting stakeholder requirements and expectations.
Collaborate with Stakeholders: Work in an Agile, collaborative environment to understand stakeholder requirements, providing input and guidance to ensure successful solution delivery.
Required education None
Preferred education Bachelor's Degree
Required technical and professional expertise
Software Development & GPU-Aware Engineering: Experience designing, developing, testing, and delivering high-quality software solutions using leading-edge and proven technologies, including development for specific hardware targets and GPU programming to enable optimized performance.
Systems-Level Debugging & Performance Optimization: Strong C++ and Linux debugging skills, with hands‑on experience in performance profiling and optimization to identify bottlenecks and deliver efficient, reliable solutions.
Component-Level Design & Problem Solving: Proven ability to design, code, and test component-level software solutions, ensuring unit testing and integration readiness, along with resolving complex software issues through effective debugging and collaboration.
Agile Development & CI/CD Enablement: Experience working in Agile, collaborative environments and contributing to CI/CD pipelines, enabling continuous integration, testing, and delivery of high‑quality software aligned with stakeholder requirements.
Cross-Stack Development & Cloud-Native Familiarity: Ability to work across hardware and software boundaries, with familiarity in Kubernetes and OpenShift concepts to support scalable, containerized application deployment.
Preferred technical and professional experience
CUDA & GPU Data Processing Expertise: Hands‑on experience with CUDA development and familiarity with GPU-accelerated data frameworks such as RAPIDS/cuDF, enabling high-performance data processing and analytics solutions.
Performance Benchmarking & Observability: Experience with benchmarking and telemetry instrumentation to measure, analyze, and optimize system performance, driving data‑informed improvements in efficiency and scalability.
Leading-Edge Technologies & Engineering Practices: Experience designing, developing, and delivering software solutions using modern technologies across back‑end and front‑end layers, with exposure to DevOps practices supporting end-to-end solution delivery.
Other relevant job details - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
- Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long‑term disability coverage, and opportunities for performance-based salary incentive programs
- Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law
- Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry‑recognized certifications to achieve their career goals
- Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences
We consider qualified applicants with criminal histories, consistent with applicable law.
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
Job Title: CUDA/GPU Developer
Location: San Jose, Austin, Texas, California, United States
Work arrangement: Onsite
Area of work: Software Engineering
Employment type: Regular
Is this role a commissionable/sales incentive based position? No
IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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