Mlengneer-cuda Sdk

2 days ago

Bengaluru Karnataka, India Hireio Full time

**Job Summary**

We’re looking for a highly skilled **Machine Learning Engineer** with extensive experience in **CUDA SDK** to enhance, port, and validate **PyTorch-based Large Language Models (LLMs)** for deployment on custom AI processors. This remote role offers the opportunity to work with cutting-edge hardware and collaborate with a cross-functional engineering team across the U.S.

**Key Responsibilities**:

- Port and validate PyTorch-based LLMs on proprietary AI hardware using **CUDA SDK APIs**:

- Extend and optimize CUDA code for compatibility and performance improvements
- Debug low-level integration issues between CUDA and PyTorch environments
- Replace off-the-shelf CUDA components with custom implementations as needed
- Develop tools and frameworks for validation and testing of LLMs
- Collaborate with AI hardware teams to ensure seamless deployment and performance tuning
- Profile and tune GPU kernels for speed, memory efficiency, and system scalability

**Required Qualifications**:

- Bachelor’s or Master’s degree in **Computer Science, Electrical Engineering**, or a related field
- Strong hands-on experience with **CUDA programming**:

- In-depth knowledge of **PyTorch** and large-scale deep learning models, especially **LLMs**:

- Proficient in **C++ and Python**:

- Experience debugging complex software and performance bottlenecks
- Solid understanding of **GPU architectures and memory management**:

- Excellent problem-solving skills and communication abilities

**Preferred Qualifications**:

- Familiarity with **AI accelerator architectures**:

- Experience with **TensorFlow** or other deep learning frameworks
- Exposure to performance tuning tools (e.g., Nsight, nvprof, VTune)
- Experience working in remote, distributed engineering environments

**Personal Attributes**:

- Passionate about AI/ML performance and innovation
- Strong attention to detail and ownership mindset
- Comfortable working independently in a fast-paced, virtual team
- Eager to solve real-world problems with cutting-edge technologies

Pay: ₹30.00 - ₹35.00 per hour

**Experience**:

- CUDA programming: 4 years (required)
- C++ and Python: 3 years (required)
- PyTorch and LLM: 3 years (required)

Work Location: In person

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