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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Software Engineer, CUDA Deep Learning Systems”. A match may be a passing mention rather than the job itself. Titles only.
368 roles across 413 listings · show every listing · page 2 of 15
…learning, deep learning, HPC, or natural sciences is helpful. Programming proficiency in C/C++ and/or Python with a deep understanding of software design…
By submitting your resume, you acknowledge that your 2027 Systems Software Engineering internship application will be processed in accordance with NVIDIA’s Applicant Privacy…
…Learning, GPU Computing, Accelerated Computing Validation Frameworks for Deep Learning, Deep Learning Frameworks and Libraries (NumPy, SciPy, cuBLAS, cuDNN) Data Preprocessing, Training Acceleration (CUDA…
…Robotics, Autonomous Vehicles, Validation Frameworks for Deep Learning, Operating Systems and Data Structures (threads, processes, memory, synchronization), Physics Simulation, Simulators, Computer Graphics, Version Control…
…Embedded System Design and Development, Drivers, Real-Time Software Deep Learning Frameworks and Libraries Building underlying frameworks and libraries to accelerate Deep Learning on…
…You will own hard problems in inference efficiency, hardware/software codesign, systems architecture, and tooling, and help set the technical direction for the engineers…
…engineering tooling, ideally for infrastructure or ML systems rather than general-purpose BI. Strong coding in Python or Go (C++ a plus) and deep…
…Join this team, and you’ll collaborate with engineers across Apple to deep dive into hardware and software technologies, uncover potential optimization opportunities to…
…Experience with or strong interest in quantum software environments including CUDA-Q, Qiskit, Cirq, PennyLane, Braket, or similar. Comfort working across system boundaries: control…
…Direct experience with NVIDIA DSX, DGX systems, DGX Cloud, CUDA-X, or related NVIDIA deep learning system software stacks. Proven track record of open…
…If you have a passion for how technology is driving dynamic changes in exciting segments like Artificial Intelligence, Deep Learning, Cloud and Advanced Software…
…Are you a creative and autonomous Systems Software Engineer who loves challenges? Do you have a genuine passion for advancing the state of Computer…
NVIDIA is the leading full-stack accelerated computing company, powering the next wave of generative AI, agentic AI, deep learning, data science, cloud-native…
…Strong knowledge of machine learning, deep learning, generative AI, real-time inference, data engineering, MLOps, and cloud-native systems. Experience with regulated environments, high…
…AI, Machine Learning, Applied Mathematics, Electrical Engineering, or a related technical field, or equivalent research depth. 8+ years of experience Deep expertise in foundational…
…and implementing best software engineering practices in large-scale systems. - Familiarity with PyTorch, JIT compilation, and AOT tracing. - Familiarity with CUDA kernels or equivalent…
…data engineering, or ML engineering, ideally targeting large‑scale production systems. Demonstrated AI/ML experience across multiple phases of the machine learning lifecycle, from…
…of deep learning models such as Recommendation systems, Generative AI, Computer vision, NLP etc Performance tuning and optimizations of deep learning framework & software components…
…learning, or intelligent software systems, including technical ownership of complex production initiatives. Strong software engineering skills, particularly in Python, with experience building production systems…
…The LocalAI team is seeking a Systems Software Engineer to build efficient on-device AI software for RTX and DGX-class systems. This role…
…CUDA/NCCL and performance profiling for distributed training/inference. - Prior work supporting large‑scale model training or inference environments. - Understanding of deep learning frameworks…
…production systems with tight constraints (latency, memory, bandwidth, power/thermal, or cost). Strong hands-on experience training and iterating on deep learning models in…
…grade systems. - Drive acceptance criteria with quality, reliability, safety, and performance goals in mind. - Work with the Software Engineering and Solutions Engineering teams to…
…industry in software engineering, developer relations, technical partnerships, solutions architecture, or product management, including hands-on experience with analytical data systems. Equivalent evidence of…
At Apple, our Platform Architecture group is responsible for connecting our hardware and software into one unified system. You’ll collaborate with engineers across…