Job OverviewSambaNova Systems is looking for a talented and motivated
Network Architect to help us solve the most challenging and impactful problems in machine learning and artificial intelligence.
Roles and ResponsibilitiesAs a Network Architect at SambaNova, you'll be responsible for defining the next generation of silicon and networking fabric solutions to enable state-of-the-art scale-up competitiveness for supercomputer scale AI/ML systems.
- Conduct research and development in state of the art networking solutions
- Define and own networking architecture specifications of performant, robust and efficient communications for the next generation super-pod scale ML HW
- Define and own ML networking roadmap, leading a cross functional effort of software, systems and silicon
- Collaborate with executive leadership to align network initiatives against product competitiveness requirements
- Stay on top of and contribute to industry standards representing SambaNova
Minimum Qualifications- Experience
- BS, MS, or PhD degree in Computer Science, Computer Engineering or Electrical Engineering
- 10+ years of industry experience in ML / supercomputer / public cloud / networking
- Proven track record of successful full-cycle development and delivery from planning to product in networking / ML scale up processors and systems
- Knowledge and Skills
- Track record of ownership and definition of various networking and routing protocols
- Deep understanding and hands-on experience defining various networking topologies for large machine clusters.
- Deep understanding of congestion management, QoS, security isolation
- Deep understanding of reliability, availability and serviceability from networking perspective
- Capable of abstracting and analyzing network performance from real world application
- Capable of breaking down networking requirements into silicon, packaging, system SW, RunTime SW and Compiler SW requirements
- Strong hands-on analytical and debug skills to make progress on challenging problems in an ambiguous and highly dynamic environment
- Strong coding skills with C++/Python/etc
- Leadership and teamwork
- Highly motivated, self-driven, independent, organized and strong collaboration and communication skills
- Cross-functional team leadership experience
Preferred Qualifications- 15+ years of industry experience in ML / supercomputer / public cloud / networking industries
- Good understanding of ASIC development cycles
- Knowledge of machine learning architecture and/or computer architecture
- Experience in building or proficiently using network simulators
- Experience in leading silicon, packaging, system HW, system SW cross-functional teams
- Experience in conducting perf and perf/tco trade-off analysis on different interconnect choices
- Familiarity with off the shelf optical IP and optical switches
- Understanding / hands-on experience in end to end optical systems
- Hands-on experience in working with IP/Switch hardware vendor to enhance / customize solutions
Base Salary Range:
Base Pay Range
$250,000-$350,000 USD
Submission GuidelinesPlease 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.
Benefits Summary for US-Based, Full-Time Employment PositionsSambaNova 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.