About Quadric.io
Sourced by ZipRecruiter
Industry
Semiconductor and electronic component manufacturing
Company size
11 - 50 Employees
Headquarters location
Burlingame, CA, US
Year founded
2016
$45 - $60/hr
Internship
Posted 15 days ago
Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.
Role:
You will join the data science team for internship focused on model optimization for Quadric's custom GPNPU architecture. Working alongside a senior data scientist mentor, you will contribute to quantization library and/or numerical accuracy testing/debugging infrastructure.
Responsibilities:
Requirements
Benefits
At Quadric, we value Integrity, Humility, and Happiness. What we expect from one another is simple and clear: Initiative, Collaboration, and Completion. We are a collaborative team focused on building something extraordinary in the edge computing space.
The hourly rate for this temporary internship position is $45.00/hour to $60.00/hour. The actual rate offered will depend on a number of factors, including the specific level of the role, years and depth of relevant experience and education, technical skills and competencies, and work location.
Quadric interns receive hands-on experience working alongside industry experts in AI and semiconductor technology, with access to mentorship and meaningful project ownership from day one.
Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world’s first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow’s technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.
Quadric is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where people from all backgrounds can do their best work. We consider all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
If this role resonates with you, we encourage you to apply even if your experience does not perfectly match every qualification. We value potential, curiosity, and a willingness to learn just as much as direct experience. Skills and growth come in many forms, and we would love to hear your story.
By submitting an application, you acknowledge that Quadric will collect and process your personal information as part of the hiring process. Please review our Privacy Policy to understand how we handle your data.
Sourced by ZipRecruiter
Semiconductor and electronic component manufacturing
11 - 50 Employees
Burlingame, CA, US
2016
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Q: What skills or qualities help someone succeed as a Data Analysis Intern?
A: To succeed as a Data Analysis Intern, key technical skills include proficiency in programming languages such as Python or R, experience with data visualization tools like Tableau or Power BI, and knowledge of statistical analysis techniques. Soft skills like strong communication, problem-solving, and analytical thinking abilities are also crucial, as they enable effective collaboration with stakeholders and the ability to interpret complex data insights. By combining these technical and soft skills, Data Analysis Interns can effectively drive business decisions and set themselves up for long-term success in the field of data analysis.
Q: What is the career path for a Data Analysis Intern?
A: A Data Analysis Intern typically progresses through a career path that includes entry-level roles such as Data Analyst, Junior Business Analyst, or Quantitative Analyst, where they develop skills in data visualization, statistical modeling, and data storytelling. Mid-level roles like Senior Data Analyst, Business Intelligence Analyst, or Operations Research Analyst involve more complex data analysis, team leadership, and strategic decision-making, while senior roles like Lead Data Analyst, Data Scientist, or Analytics Manager require expertise in advanced machine learning, data engineering, and business acumen. Long-term, Data Analysis Interns may pursue leadership positions, start their own analytics consulting firms, or transition into related fields like business development, product management, or academia.
