Engineering Manager - Model Performance

Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or a related field.

5+ years of professional experience in software engineering, with at least 2 years in a technical leadership role.

Proven experience managing and mentoring teams of engineers.

Expertise in one or more programming languages, such as Python, C++, or Go.

In-depth understanding of ML model performance optimization, especially using libraries such as PyTorch, TensorRT, and CUDA.

Strong knowledge of containerization (Docker) and orchestration systems (Kubernetes).

Experience with production-level AI/ML solutions, including scaling and deploying large models.

Ability to balance hands-on technical work with team leadership and project management.

BONUS POINTS

Experience enhancing the performance of large language models (LLMs) or similar AI systems.

Familiarity with LLM optimization techniques such as quantization, speculative decoding, or continuous batching.

Deep knowledge of GPU architecture and performance tuning.

Previous experience in a high-growth startup environment.

BENEFITS

Competitive compensation package.

This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.

An inclusive and supportive work culture that fosters learning and growth.

Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.