Senior System Software Engineer, Speech AI
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What we need to see:
Masters or BE/BTech in Computer Science, computer architecture, or related field
6+ years of experience
Excellent C++ & Python programming and software design skills, including debugging, performance analysis, and test design.
Experience with inference pipelines for LLM, Speech Recognition & Speech Synthesis
Solid understanding of modern model architectures (Transformers, CNNs, RNNs)
Excellent debugging abilities spanning multiple software (storage systems, kernels and containers)
Experience building and deploying cloud services using HTTP REST, gRPC, Websockets and related technologies
Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment
Ability to work independently, define project goals and scope and manage your own development effort.
Knowledge of real-time streaming audio systems and low-latency architectures
Experience with speech model fine-tuning or customization
Ways to stand out from the crowd:
Publications or contributions to ML optimization open-source projects.
Experience with embedded systems or edge deployment
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
About NVIDIA
Computing platform company for AI and accelerated graphics.
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