3 of 3 Parallel Programming Jobs

University Professor (all genders) for the specialist field of Parallel Computing

Hiring Organisation
Technische Universität Wien
Location
Wieden, Wien, Austria
Employment Type
Permanent
Salary
EUR Annual
University Professor (all genders) for the specialist field of Parallel Computing TU Wien is Austria's largest institution of research and higher education in the fields of technology and natural sciences. With over 26,000 students and more than 4000 scientists, research, teaching, and learning dedicated to the advancement … Computer Engineering of the Faculty of Informatics at TU Wien, the position of a University Professor (all genders) for the specialist field of "Parallel Computing" with permanent (full-time) contractual employment is expected to be filled as of October 1st, 2026. This professorship position is regulated ...

Sr. ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs

Hiring Organisation
Annapurna Labs (U.S.)
Location
Cupertino, California, United States
Employment Type
Permanent
Salary
USD Annual
model acceleration. In this role, you will: Design and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming models Analyze and optimize kernel-level performance across multiple generations of Neuron hardware Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks Implement … them to take on more complex tasks in the future. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling ...

Solution Architect - Digital Biology

Hiring Organisation
NVIDIA Corporation
Location
München, Bayern, Germany
Employment Type
Permanent
Salary
EUR 80,000 - 110,000 Annual
customizing Transformer models for healthcare and life sciences applications, especially using libraries like Transformer Engine or Megatron-LM. Background with accelerating scientific algorithms using parallel programming (e.g., using CUDA), or experience with distributed programming models for supercomputing applications, AI deployment/inference technologies (e.g. TensorRT), cloud deployment ...