Reduce communication cost in distributed workloads (all-to-all, all-reduce) and overlap communication with compute across NVLink and across nodes
Profile end-to-end training and rollout workloads to identify whether they are compute-, memory-, or communication-bound, and quantify the headroom
Build benchmarks, profiling tools, and regression tests that guide optimization decisions
Collaborate with Research Scientists to turn new model architectures into efficient implementations
Explore emerging techniques such as low-precision training and serving, speculative decoding, and fused or persistent kernels
Who You Are
You have depth in at least one of: GPU kernel development and optimization (CUDA or similar), low-latency communication and collective operations (e.g., RDMA, NCCL), or large-scale training infrastructure
You can reason about hardware constraints (memory, bandwidth, interconnect topology) and explain where a bottleneck is and how you would confirm it
You are proficient in a systems language (e.g., C++, Rust, or CUDA C) and in Python
You have strong debugging and profiling skills, including tools such as Nsight
You can explain design and performance trade-offs clearly to both technical and non-technical audiences
Bonus Points (any of the following)
You have experience with Mixture-of-Experts models, expert parallelism, or sparse model inference
You are familiar with GPU communication libraries such as NCCL or NVSHMEM, and with compute/communication overlap
You have experience with Triton, CUTLASS, or similar kernel frameworks
You are familiar with distributed training frameworks such as Megatron-LM, TorchTitan, or DeepSpeed
You have built GPU-intensive systems in graphics, rendering, simulation, or scientific computing
You have contributed to open-source ML or systems infrastructure projects
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.
#LI-Hybrid
About Datadog
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
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Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
