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Alldus

Software Engineer - ML/LLM Inference

Alldus, San Francisco

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Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Alldus Principal Recruitment Consultant | AI & Machine Learning | Co-organizer of the AI in Action Podcast My client is searching for a talented engineer to work on ML/LLM inference and serving. They specialize in developing next-gen LLM fine-tuning and inference engines. We are seeking a talented and motivated Software Engineer specializing in Machine Learning (ML) and Large Language Model (LLM) inference to join our dynamic ML Inference team. In this role, you will bridge the gap between AI/ML research and systems programming to build and enhance our next-generation LLM Inference Engine. You will play a crucial role in optimizing the performance, scalability, and efficiency of our LLM serving systems. Key Responsibilities: Develop and Enhance Inference Engine: Design, implement, and optimize the next-generation LLM Inference Engine. Integrate the latest LLM inference techniques from research to enhance latency and throughput. Performance Optimization: Conduct deep performance optimizations across multiple layers of the technology stack, including PyTorch, C++, and CUDA. Analyze and improve system performance to meet the demands of various use cases. Work closely with customers to understand specific performance requirements and optimize solutions accordingly. Provide technical expertise and support to ensure successful deployment and operation of inference systems. Technical Leadership: Define the roadmap and technical vision for the inference stack. Lead initiatives to drive innovation and maintain the competitive edge of our inference technologies. Infrastructure Development: Collaborate with partner teams to build and maintain scalable, multi-replica serving infrastructure. Ensure the reliability and scalability of LLM serving systems to handle increasing workloads. Qualifications: Technical Skills: Proficiency in systems programming languages such as C++. Strong experience with machine learning frameworks, particularly PyTorch. Expertise in GPU programming and CUDA for performance optimization. Solid understanding of AI/ML concepts, especially related to large language models. Experience: Proven experience in developing and optimizing ML/LLM inference systems. Demonstrated ability to integrate research advancements into production systems. Experience with performance tuning and profiling across various technology stacks. Experience with vLLM Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Industries Staffing and Recruiting and Software Development Referrals increase your chances of interviewing at Alldus by 2x Inferred from the description for this job San Francisco, CA $130,000.00-$238,000.00 3 days ago San Francisco, CA $40,000.00-$70,000.00 2 weeks ago San Francisco, CA $145,000.00-$230,000.00 5 days ago Full-Stack Software Engineer (Jr/Mid level) San Francisco, CA $220,000.00-$350,000.00 4 hours ago San Francisco, CA $150,000.00-$230,000.00 2 months ago San Francisco, CA $150,000.00-$176,000.00 2 months ago San Francisco, CA $99,500.00-$200,000.00 1 day ago San Francisco, CA $130,000.00-$140,000.00 2 days ago San Francisco, CA $120,000.00-$190,000.00 8 months ago San Francisco, CA $125,000.00-$175,000.00 1 month ago Software Engineer, Frontend (All Levels) San Francisco, CA $150,000.00-$220,000.00 1 hour ago San Francisco, CA $56.25-$173,000.00 2 weeks ago San Francisco, CA $176,000.00-$250,000.00 2 weeks ago Alameda, CA $130,000.00-$160,000.00 4 weeks ago San Francisco, CA $150,000.00-$283,000.00 2 weeks ago San Francisco, CA $150,000.00-$300,000.00 5 days ago San Francisco, CA $165,000.00-$165,000.00 2 years ago San Francisco, CA $140,000.00-$280,000.00 7 months ago San Francisco, CA $140,000.00-$180,000.00 1 month ago San Francisco, CA $130,000.00-$185,000.00 2 months ago San Francisco, CA $99,500.00-$200,000.00 1 day ago San Francisco, CA $150,500.00-$269,200.00 2 days ago San Francisco, CA $100,000.00-$200,000.00 1 year ago San Francisco, CA $120,000.00-$200,000.00 2 years ago San Francisco, CA $150,000.00-$250,000.00 9 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr