Top 10 highest paying companies that use CUDA

$180k to $230k plus equity

Listening.com turns research papers and textbooks into audio, so students can listen on the go. We're growing very fast, with 10,000+ subscribers from institutions like Harvard, Stanford, MIT, and UC Berkeley. We’re hiring a machine learning engineer. The role entails: * Experience with training models, implementing research papers, and coming up with novel model designs. * Deep experience with PyTorch, Tensorflow, CUDA, etc is a must. * Understanding how attention heads, convolutional networks, etc operate is important. * These experiences are a plus but not required: --- training LLMs from scratch --- Working with audio models --- Working with vision models --- Experience making models run efficiently is a plus but not required (quantization, pruning, distillation, etc) --- Experience with model hosting and deployment is also a plus but not required The role is 50% remote, 50% in person. To apply, please email derek@listening.io. Include your resume, and mention that you're in the San Francisco bay area.

100000 - 150000

Rescale is pioneering the future of engineering and scientific discovery. As the leader in digital engineering, we’re transforming how products are developed—through intelligent automation, applied AI, data management, and the integration of the world’s largest network of engineering and R&D applications. We are seeking an HPC Engineer to join our team. In this role you will: - Become an expert in the Rescale platform and its application to customer workflows. - Deliver deep technological solutions and support related to some of Rescale’s most powerful features. - Publish, manage and optimize complex HPC software for demanding customers. - Develop and implement processes and best practices associated with HPC services and support. - Advocate customer needs internally and collaborate with sales, product and engineering teams to achieve customer success goals. - Work with the customer support team to improve customer value realization and drive customer satisfaction and retention. - Identify opportunities for increased productivity through automation and tools and implement solutions. - Design and improve processes to drive customer satisfaction by consistently meeting or exceeding commitments and improving quality of deliverables. - Provide technical support to customers, independent software vendors and strategic partners. - Solve various problems related to the software customers are running on Rescale, requiring knowledge of the software and the environment it runs in. - Maintain software available on Rescale, including installing and benchmarking software, and optimizing performance for the environment it runs in. What we’re looking for: - 2+ years experience with HPC Systems and HPC Applications. - Experience with Linux/Unix and Windows operating system environments. - Experience with scripting languages like Bash and Python. - Interest in cloud computing platforms such as AWS, Azure or Google Cloud. - General awareness of HPC, schedulers, MPI, containers, Kubernetes, and GPU computing. - Introductory exposure to scientific computing libraries and tools like OpenMP and CUDA. - Experience applying AI-assisted workflows using AI agents, code generation, and automation. - Basic understanding of at least one CAE discipline (CFD, FEA, EDA, ML/AI, Molecular Dynamics, Weather Forecasting, Optics, etc.). - Ability to collaborate across IT, engineering, and R&D. - Self-starter eager to learn and support project success. - Technical aptitude to learn the product and platform experience and customer journey within high-performance computing and enterprise PaaS environment. - Excellent verbal and written communication. - BS/BA degree in Engineering, Computer Science, or related field. Application note: Please mention the word **DOTE** and tag RMTM4LjIwMS4xMjYuMTgx when applying to show you read the job post completely (#RMTM4LjIwMS4xMjYuMTgx).