Bangalore, Karnataka, India
Information Technology
Other
BLAIZE
Overview
About Blaize
Blaize provides a full-stack programmable processor architecture suite and low-code/no-code software platform that enables AI processing solutions for high-performance computing at the network’s edge and in the data center. Blaize solutions deliver real-time insights and decision-making capabilities at low power consumption, high efficiency, minimal size and low cost. Blaize has raised over $330 million from strategic investors such as DENSO, Mercedes-Benz AG, Magna, and Samsung and financial investors such as Franklin Templeton, Temasek, GGV, Bess Ventures, BurTech LP LLC, Rizvi Traverse, and Ava Investors. Headquartered in El Dorado Hills (Calif.), Blaize has more than 200 employees worldwide with teams in San Jose (Calif.) and Cary (N.C.), and subsidiaries in Hyderabad (India), Leeds and Kings Langley (UK), and Abu Dhabi (UAE).
Blaize provides a full-stack programmable processor architecture suite and low-code/no-code software platform that enables AI processing solutions for high-performance computing at the network’s edge and in the data center. Blaize solutions deliver real-time insights and decision-making capabilities at low power consumption, high efficiency, minimal size and low cost. Blaize has raised over $330 million from strategic investors such as DENSO, Mercedes-Benz AG, Magna, and Samsung and financial investors such as Franklin Templeton, Temasek, GGV, Bess Ventures, BurTech LP LLC, Rizvi Traverse, and Ava Investors. Headquartered in El Dorado Hills (Calif.), Blaize has more than 200 employees worldwide with teams in San Jose (Calif.) and Cary (N.C.), and subsidiaries in Hyderabad (India), Leeds and Kings Langley (UK), and Abu Dhabi (UAE).
Job Tittle: Sr Software Engineer
Location: Hyderabad
Job Description:
Blaize has state of art general purpose Graph Streaming Processor(GSP), we intend to deploy ML inference solutions on the same. In order to deploy ML inference solutions, we support ML frameworks like tensorflow, pytorch, ONNX, TVM, MLIR, etc. & their respective backend implementations for Blaize GSP.
We are looking for software engineers who have already contributed to any of ML framework development software stack like tensorflow, pytorch, ONNX, TVM, MLIR,etc., with requirements as below -
- Should be well versed with quantization techniques & algorithms used in ML frameworks like tensorflow, pytorch, ONNX, TVM, MLIR, etc.
- Should be able to debug, maintain & contribute to ML framework software stack for tensorflow, pytorch, ONNX, TVM, MLIR, etc.
- Working knowledge & lower level implementation of compute intensive inference kernels like conv2d, conv3d, batchnorm, matmul, etc.
- Network Optimization, Node fusion, graph lowering & raising, adding custom operations, profiling & performance fine tuning.
- Hands on experience in C, C++, Python
- Strong debugging & programming skills
EDUCATION AND EXPERIENCE
- A bachelors or masters degree in computer science or equivalent.
- At least 5 years of experience in software development
- One should have a strong knowledge of data structures, algorithms, and computer science fundamentals.
- Strong knowledge of coding and good problem-solving skills.
- Proven track record of working on complex systems or software products.
- Experience with software lifecycle management (design, development, deployment, and maintenance).
Soft Skills:
- Problem-Solving and Analytical Skills:
- Strong analytical skills and the ability to approach complex problems methodically.
- Ability to work independently and collaborate effectively with teams.
- Communication Skills:
- Strong written and verbal communication skills.
- Ability to explain complex technical concepts to non-technical stakeholders.
Blaize is an equal opportunity employer. We pride ourselves on having a diverse workforce and we do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender, gender identity and gender expression of our applicants and employees, and we honor requests for preferred pronouns. It is our policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.
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