Senior DL Algorithms Engineer - Inference Performance

Details

We are looking for a Senior DL Algorithms Engineer focused on inference performance. The role is for engineers who are mindful of performance analysis and optimization and who can work across all layers of the hardware/software stack — from GPU architecture to deep learning frameworks — to maximize Deep Learning inference performance. The position offers the opportunity to impact hardware and software roadmaps at a leading AI-focused company.

Responsibilities

• Implement language and multimodal model inference as part of NVIDIA Inference Microservices (NIMs).
• Contribute new features, fix bugs and deliver production code to TRT-LLM (NVIDIA’s open-source inference serving library).
• Profile and analyze bottlenecks across the full inference stack to push the boundaries of inference performance.
• Benchmark state-of-the-art DL model inference offerings and perform competitive analysis for NVIDIA software/hardware stack.
• Collaborate heavily with software/hardware co-design teams to enable the next generation of AI-powered services.

Requirements

• PhD in Computer Science, Electrical Engineering, CSEE or equivalent experience.
• 3+ years of experience.
• Strong background in deep learning and neural networks, with focus on inference.
• Experience with performance profiling, analysis and optimization, especially for GPU-based applications.
• Proficient in C++ and PyTorch or equivalent frameworks.
• Deep understanding of computer architecture and familiarity with fundamentals of GPU architecture.

Ways to stand out

• Proven experience with processor and system-level performance optimization.
• Deep understanding of modern LLM architectures.
• Strong fundamentals in algorithms.
• GPU programming experience (CUDA or OpenCL) is a strong plus.

Compensation & Benefits

• Base salary range (by level/location):
  • Level 3: 116,250 CAD - 201,500 CAD
  • Level 4: 142,500 CAD - 247,000 CAD
• Eligible for equity and benefits (see employer benefits page).

Additional information

• Applications for this job will be accepted at least until October 19, 2025.
• Start date (provided): 2025-10-15.
• Employment type: Full time.