15 Nccl Jobs

Job Description Basic Qualifications: BS or MS degree in CS or related engineering or science field with 3+ years of relevant experience Experience with benchmarking and troubleshooting or optimizing performance of a system. Experience with coding, scripting, and automation. Background in Networking. General Linux skills. Demonstrated ability to lead complex projects, independently resolve ambiguity, collaborate with stakeholders across teams, and communicate effectively. Desired qualifications: Experience working on clusters, e.g., running HPC/AI workloads, or maintaining an HPC/AI system. Experience troubleshooting or tuning performance on distributed systems. Familiarity with elements of ...

Architect high-performance inference runtimes , kernel dispatchers, and memory planners for large diffusion and transformer workloads. Lead investigations into cross-GPU performance bottlenecks , communication overheads, and scheduling inefficiencies. Drive multi-GPU parallelism strategies model, pipeline, and tensor parallelization. Establish company-wide GPU optimization standards, tooling, and SLIs . Collaborate with research to design scalable implementations of novel architectures. Mentor engineers in profiling, tuning, and low-level optimization. Partner with hardware vendors and infra teams to maximize cluster utilization. Required Qualifications 5+ years in high-performance computing...

In this role, you will be responsible for designing architectures for meta-learning, self-reflective agents, and recursive optimization loops. You will also build simulation frameworks grounded in Bayesian dynamics, attractor theory, and teleo-dynamics. Moreover, your duties will include developing systems integrating graph rewriting, knowledge representation, and neurosymbolic reasoning. Additionally, you will conduct research on fractal intelligence structures, swarm-based agent coordination, and autopoietic systems. Your role will involve advancing Mobius's knowledge graph with ontologies supporting logic, agency, and emergent semantics. Furthermore, you will integrate logic into distribu...

As a Senior Software Engineer (SDE III) at Glance AI, you will be responsible for building, profiling, and optimizing GPU workloads to power next-generation generative AI experiences, ranging from Stable Diffusion image generation to transformer-based multimodal models. You will collaborate closely with research and infrastructure teams to enhance model inference speed, cost efficiency, and readiness for production. This role is perfect for individuals who are passionate about maximizing GPU performance, developing high-performance kernels, and translating cutting-edge research into scalable systems. Key Responsibilities: - Develop, optimize, and maintain GPU kernels (CUDA, Triton, ROCm) for...

Preferred Qualifications: Bachelors / Masters in Computer Science or related engineering fields Experience with RDMA programming, including but not limited to GPUDirect RDMA Experience with distributed workload managers like Slurm or K8s Experience with Linux Performance tools Experience in SDN, NFV, Cloud Networking Experience in Infrastructure-as-a-Service, viz. OpenStack, AWS, GCP, Azure Responsibilities 5+ years of experience with software (systems/application) development 2+ years of experience with collective communications libraries like NCCL, RCCL, MPI and GPU frameworks like CUDA and ROCm. 2+ years of experience with ML training frameworks like PyTorch, TensorFlow Proficient at prog...

Job Description Bachelor's or Master's degree in Computer Science & Engineering 6-10+ years of professional experience in full stack development, with a proven track record of deploying web applications in production environments. Strong fundamentals in data structures & algorithms demonstrated through complex system design and problem-solving in computer network domain. Experience in at least one backend language (e.g., Java, Python, Go), frontend framework including SQL/NoSQL databases and cloud platforms (e.g., AWS, Azure, GCP). Hands-on experience with observability tools (e.g., Prometheus, Grafana, ELK/EFK, OpenTelemetry). Experience with container orchestration (Kubernetes, Docker) and...

Bachelor's or Master's degree in Computer Science & Engineering 5+ years of professional experience in full stack development, with a proven track record of deploying web applications in production environments. Strong fundamentals in data structures & algorithms demonstrated through complex system design and problem-solving in computer network domain. Experience in at least one backend language (e.g., Java, Python, Go), frontend framework including SQL/NoSQL databases and cloud platforms (e.g., AWS, Azure, GCP). Hands-on experience with observability tools (e.g., Prometheus, Grafana, ELK/EFK, OpenTelemetry). Experience with container orchestration (Kubernetes, Docker) and CI/CD tools (e.g.,...

Bachelor's or Master's degree in Computer Science & Engineering 5+ years of professional experience in full stack development, with a proven track record of deploying web applications in production environments. Strong fundamentals in data structures & algorithms demonstrated through complex system design and problem-solving in computer network domain. Experience in at least one backend language (e.g., Java, Python, Go), frontend framework including SQL/NoSQL databases and cloud platforms (e.g., AWS, Azure, GCP). Hands-on experience with observability tools (e.g., Prometheus, Grafana, ELK/EFK, OpenTelemetry). Experience with container orchestration (Kubernetes, Docker) and CI/CD tools (e.g.,...

Bachelor's or Master's degree in Computer Science & Engineering 6-10+ years of professional experience in full stack development, with a proven track record of deploying web applications in production environments. Strong fundamentals in data structures & algorithms demonstrated through complex system design and problem-solving in computer network domain. Experience in at least one backend language (e.g., Java, Python, Go), frontend framework including SQL/NoSQL databases and cloud platforms (e.g., AWS, Azure, GCP). Hands-on experience with observability tools (e.g., Prometheus, Grafana, ELK/EFK, OpenTelemetry). Experience with container orchestration (Kubernetes, Docker) and CI/CD tools (e....

Basic Qualifications: . BS or MS degree in CS or related engineering or science field with 3+ years of relevant experience . Experience with benchmarking and troubleshooting or optimizing performance of a system. . Experience with coding, scripting, and automation. . Background in Networking. . General Linux skills. . Demonstrated ability to lead complex projects, independently resolve ambiguity, collaborate with stakeholders across teams, and communicate effectively. Desired qualifications: . Experience working on clusters, e.g., running HPC/AI workloads, or maintaining an HPC/AI system. . Experience troubleshooting or tuning performance on distributed systems. . Familiarity with elements o...

Were hiring an IT Solutions & GPU Infrastructure Lead to build and manage GPU servers like RunPod.io or Ola Krutrim , handling setup, slicing (MIG), virtualization, monitoring, and optimization for AI/ML workloads in colocation data centers. Annual bonus

As a member of our team, your primary responsibility will be the development and training of foundational models across various modalities. You will be involved in the end-to-end lifecycle management of foundational model development, starting from data curation to model deployment, by collaborating closely with core team members. Your role will also entail conducting research to enhance model accuracy and efficiency, as well as implementing state-of-the-art AI techniques in Text/Speech and language processing. Collaboration with cross-functional teams will be essential as you work towards building robust AI stacks and seamlessly integrating them into production pipelines. You will be expect...

The job involves designing architectures for meta-learning, self-reflective agents, and recursive optimization loops. Building simulation frameworks grounded in Bayesian dynamics, attractor theory, and teleo-dynamics. Developing systems that integrate graph rewriting, knowledge representation, and neurosymbolic reasoning. Researching fractal intelligence structures, swarm-based agent coordination, and autopoietic systems. Advancing Mobius's knowledge graph with ontologies supporting logic, agency, and emergent semantics. Integrating logic into distributed decision graphs aligned with business and ethical constraints. Publishing cutting-edge results and mentoring contributors in reflective sy...

We are looking for a skilled and enthusiastic Applied AI/ML Engineer to be a part of our team. As an Applied AI/ML Engineer, you will be responsible for leading the entire process of foundational model development, focusing on cutting-edge generative AI techniques. Your main objective will be to implement efficient learning methods for data and compute, specifically addressing challenges relevant to the Indian scenario. Your tasks will involve optimizing model training and inference pipelines, deploying production-ready models, ensuring scalability through distributed systems, and fine-tuning models for domain adaptation. Collaboration with various teams will be essential as you work towards...

You will be responsible for designing architectures for meta-learning, self-reflective agents, and recursive optimization loops. Your role will involve building simulation frameworks for behavior grounded in Bayesian dynamics, attractor theory, and teleo-dynamics. Additionally, you will develop systems that integrate graph rewriting, knowledge representation, and neurosymbolic reasoning. Conducting research on fractal intelligence structures, swarm-based agent coordination, and autopoietic systems will be part of your responsibilities. You are expected to advance Mobius's knowledge graph with ontologies supporting logic, agency, and emergent semantics. Integration of logic into distributed, ...