Principal Software Engineer, Machine Learning
Palo Alto, California, United States
Applications have closed
SambaNova Systems
SambaNova delivers the first full-stack generative AI platform, from chip to model, designed for enterprise and government entities and powered by a dataflow architecture. SambaNova delivers the accuracy, transparency, and ownership of models...The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale.
SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets.
Working at SambaNova
At 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 SambaNova hardware
- Working with the ML Algorithms, compiler and performance team to port existing models to SambaNova hardware
- Running machine learning tests and experiments to ensure correctness by selecting appropriate datasets and training recipes
- Extend existing ML libraries and frameworks to implement new features
- Develop novel ML model architectures and primitives that take advantage of SambaNova’s breakthrough architecture to deliver orders of magnitude performance & efficiency improvements
- Develop, manage, and maintain test suites for models and proper documentation of models ported to SambaNova 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++
- 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
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.
LI-RB1
Benefits Summary for US-Based Full-Time Direct Employment Positions
(The Recruiter will provide benefit details for non-US-based roles)
SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Submission Guidelines
Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified.
If you are a new, recent (within the last two years), or upcoming college graduate and are interested in opportunities with SambaNova Systems, please apply through our university job listings.
EEO Policy
SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
Tags: Architecture Computer Science Deep Learning Engineering Excel Generative AI Machine intelligence Machine Learning Mathematics Open Source Python Statistics
Perks/benefits: Career development Competitive pay Equity Fitness / gym Flex hours Flexible spending account Health care Insurance
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open Principal Data Engineer jobs
- Open MLOps Engineer jobs
- Open Data Analytics Engineer jobs
- Open Data Scientist II jobs
- Open Power BI Developer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Big Data Engineer jobs
- Open Research Scientist jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Deep Learning-related jobs
- Open Data visualization-related jobs
- Open PhD-related jobs
- Open Finance-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open Consulting-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Snowflake-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs