SambaNova
Principal Software Engineer, Machine Learning Applications
SambaNova, Palo Alto, California, United States, 94306
Working at SambaNovaAt SambaNova, our dedication goes beyond merely innovating in AI technology; we actively bring these innovations into the real world each day.
You will play a key role in crafting highly capable generative AI models and solutions, designed to meet the diverse needs of sectors ranging from enterprise to government.
Our culture thrives on creativity and advancement, and your expertise will be crucial in driving the progress of generative AI. We focus on delivering solutions that excel in accuracy, efficiency, safety, accessibility, and robustness for practical applications. As a senior member of our team, you will not only contribute to the evolution of generative AI capabilities but also significantly shape the future of Enterprise AI.
Responsibilities
Designing and developing machine learning and deep learning applications on SN Hardware
Working with the ML Algorithms, compiler and performance team to port existing open source models to SambaNova hardware
Design and implement machine learning testing suites and experiments to ensure correctness by selecting appropriate datasets and training recipes
Extend existing ML libraries and frameworks to implement new operators, model architectures and optimize existing operators
Develop novel and efficient ML primitives that take advantage of SambaNova’s breakthrough architecture to deliver orders of magnitude performance & efficiency improvements
Develop, manage and maintain software test suites for models and proper documentation of models ported to SN hardware
Basic Qualifications
Degree in Electrical/Computer Engineering, Computer Science, Machine Intelligence, Engineering Science, or Math
3+ years of experience as a Machine Learning Engineer or similar role
Experience with algorithms, data structures, and software development in Python and C/C++
Experience optimizing machine learning models in Python/Cython or CUDA or CuTe
Knowledge of math, probability, statistics and algorithms
Preferred Qualifications
Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture
Fleshed out GitHub repo
Annual Salary Range and Level
The base salary for this position ranges from $180,000/year up to $210,000/year. This range is based on role, level, and location and reflects the salary target for new hires in the US. Individual pay within the range will depend on a number of factors, including a candidate’s job-related qualifications, skills, competencies and experience, and location.
#J-18808-Ljbffr
You will play a key role in crafting highly capable generative AI models and solutions, designed to meet the diverse needs of sectors ranging from enterprise to government.
Our culture thrives on creativity and advancement, and your expertise will be crucial in driving the progress of generative AI. We focus on delivering solutions that excel in accuracy, efficiency, safety, accessibility, and robustness for practical applications. As a senior member of our team, you will not only contribute to the evolution of generative AI capabilities but also significantly shape the future of Enterprise AI.
Responsibilities
Designing and developing machine learning and deep learning applications on SN Hardware
Working with the ML Algorithms, compiler and performance team to port existing open source models to SambaNova hardware
Design and implement machine learning testing suites and experiments to ensure correctness by selecting appropriate datasets and training recipes
Extend existing ML libraries and frameworks to implement new operators, model architectures and optimize existing operators
Develop novel and efficient ML primitives that take advantage of SambaNova’s breakthrough architecture to deliver orders of magnitude performance & efficiency improvements
Develop, manage and maintain software test suites for models and proper documentation of models ported to SN hardware
Basic Qualifications
Degree in Electrical/Computer Engineering, Computer Science, Machine Intelligence, Engineering Science, or Math
3+ years of experience as a Machine Learning Engineer or similar role
Experience with algorithms, data structures, and software development in Python and C/C++
Experience optimizing machine learning models in Python/Cython or CUDA or CuTe
Knowledge of math, probability, statistics and algorithms
Preferred Qualifications
Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture
Fleshed out GitHub repo
Annual Salary Range and Level
The base salary for this position ranges from $180,000/year up to $210,000/year. This range is based on role, level, and location and reflects the salary target for new hires in the US. Individual pay within the range will depend on a number of factors, including a candidate’s job-related qualifications, skills, competencies and experience, and location.
#J-18808-Ljbffr