Senior AI Engineer: NVIDIA LLM Inference on GPU

FullStack is seeking a Senior AI Engineer to join our talent network and work with U.S. clients on flexible, project-based development. You will integrate directly into client teams and contribute to production-grade AI inference on GPU infrastructure. Requirements include 5+ years in AI/ML engineering, advanced English, a four-year degree, and hands-on...

About FullStack FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value...

About FullStack FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value...

AMD is seeking a Senior Software Development Engineer to own the end-to-end model execution stack on AMD Instinct GPUs, covering training infrastructure at scale and high-performance inference serving. You will ship LLMs on real hardware, optimize GPU kernels, and ensure frontier models run efficiently across generations. Lead multi-node training, develop...

FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the...

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking...

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking...

**About FullStack** FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows...

A senior machine learning systems engineer will optimize LLM inference performance with Python, PyTorch, and AWS Trainium remotely anywhere in Canada. The focus includes decode latency and throughput. At Capgemini Engineering, this hands-on engineer improves production-grade model serving across Trainium2 and Trainium3. The work covers vLLM on AWS Neuron,...