Senior ML research Engineer

• Kernel Development & Optimization: Write and maintain high-performance GPU kernels using Triton or CUDA to accelerate custom model layers and operations.
• Training Efficiency: Support the scaling of large-scale training runs. You will help implement and debug distributed training strategies including ZeRO, Tensor Parallelism, and Pipeline Parallelism.
• Inference Acceleration: Implement state-of-the-art inference techniques such as quantization (FP8/INT8), speculative decoding, and KV cache optimizations to reduce latency and cost-per-token.
• Performance Profiling: Conduct deep-dive bottleneck analysis using tools like PyTorch Profiler, NVIDIA Nsight, and Nsight Systems to identify stalls in compute, memory bandwidth, or NCCL communication.
• System Maintenance: Collaborate on the "Model Factory" pipeline to ensure training jobs are fault-tolerant and utilize cluster resources efficiently across InfiniBand/RoCE networks.

• Education: Master's or PhD's degree in Computer Science, Electrical Engineering, or a related field with a focus on Parallel Computing or Systems.
• Foundational Systems Programming: Proficiency in Python and C++, with a solid understanding of memory management and concurrency.
• Hands-on ML Frameworks: Experience working with PyTorch or JAX, specifically moving beyond simple model training into distributed setups (e.g., PyTorch FSDP, DeepSpeed).
• GPU Awareness: A strong grasp of GPU architecture (SRAM vs. HBM, warps, and thread blocks) and how these impact the performance of ML workloads.
• Analytical Mindset: A "measure twice, cut once" approach to engineering-you enjoy looking at execution traces and flame graphs to find 10% wins.

• Knowledge of modern model architectures like Mixture-of-Experts (MoE) or Diffusion Transformers (DiT

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

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Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

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Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

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