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Urgent! LLM Systems Performance Engineer (CUDA) Job Opening In junagadh – Now Hiring Phinity
We look forward to when AI can discover the next quantum AI accelerator, or when AI can make RL much more compute-efficient.
We want to enable AI to bootstrap its own intelligence, to discover new computational paradigms.
Just as AlphaEvolve discovered a 23% speedup in Gemini's critical kernels and achieved 32.5% improvements in FlashAttention, we're building the infrastructure that will enable every AI model to optimize its own compute stack.
Of course, to automate algorithm and hardware discovery, we need to break the data barrier.
CUDA is a low-resource language, and kernel optimization depends a lot on context and hardware that models simply are not trained on.
Phinity is building the canonical training data infrastructure that will enable agentic hardware engineering and optimization, which will fuel algorithmic discovery.
We are building environments for agents to learn to write kernel from a spec and optimize them on specific hardware, and eventually, to discover new hardware breakthroughs.
Our customers include one of the largest frontier model labs.
We're seeking top engineers for a contractor role who can optimize hardware for model training and inference workloads, who can bake their industry experience into a model.
This is a hybrid Systems Engineer/AI research role where you will be looking through and debugging model reasoning traces and designing the optimal CUDA problems to teach unreleased models to automate your work in industry.
Please do not apply unless you have optimized kernels before.
Skill requirements:
Languages: CUDA, C++, Python,
Frameworks: JAX/XLA, PyTorch, TensorFlow (at the C++ level), Pallas
Libraries: cuBLAS, cuDNN, CUTLASS, CUB, Thrust
Compiler Tools: NVCC, PTX assembly, MLIR/XLA understanding
Hardware Knowledge: SM architecture, tensor cores, memory hierarchies (HBM, L2, shared, registers)
Apply if you have:
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Unlock Your LLM Systems Potential: Insight & Career Growth Guide
Real-time LLM Systems Jobs Trends in junagadh, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for LLM Systems in junagadh, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 24699 jobs in India and 156 jobs in junagadh. This comprehensive analysis highlights market share and opportunities for professionals in LLM Systems roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Phinity is currently hiring and seeking a LLM Systems Performance Engineer (CUDA) to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Phinity adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a LLM Systems Performance Engineer (CUDA) Jobs India varies, but the pay scale is rated "Standard" in junagadh. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for LLM Systems Performance Engineer (CUDA) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your LLM Systems Performance Engineer (CUDA) interview at Phinity, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Phinity's products or services and be prepared to discuss how you can contribute to their success.
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