Job Description
Nuro is seeking a Technical Lead Manager to oversee the development and implementation of quantization techniques in machine learning infrastructure, optimizing model training and deployment for autonomous vehicles while leading a team of engineers and researchers.
Key Responsibilities
- Drive adoption of state-of-the-art quantization techniques to improve model training and deployment efficiency.
- Set technical strategy and direction for the ML Training Infrastructure team.
- Evaluate emerging research and implement new methods for model compression and efficiency.
- Establish telemetry systems to identify and troubleshoot quality regressions in low-precision training.
- Lead design and implementation of efficiency initiatives such as low-bit quantization, pruning, and knowledge distillation.
- Collaborate with research, infrastructure, and product teams to balance accuracy, latency, and resource constraints.
- Mentor and develop a team of engineers and researchers.
Requirements
- 6 years of professional or research experience in ML infrastructure, distributed training, or ML systems engineering.
- Hands-on experience with quantization methods, including Activation-Aware Weight Quantization AWQ, Accurate Quantized Training AQT, FP-8 training, or related methods.
- Knowledge of broader model compression techniques, such as structured unstructured pruning and knowledge distillation.
- Experience building or maintaining quantization libraries e.g., AQT, bitsandbytes, NVIDIA Transformer Engine, DeepSpeed Compression.
- Understanding of calibration and scaling strategies for quantized models to minimize accuracy loss.
Benefits & Perks
Compensation/salary range between $235,030 and $352,290
Annual performance bonus
Equity
Competitive benefits package
Ready to Apply?
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