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求人SambaNova

Hardware Design Engineer

SambaNova

Hardware Design Engineer

SambaNova

Remote - US

·

Remote

·

Full-time

·

1mo ago

福利厚生

Healthcare

Equity

Flexible Hours

Gym

Mental Health

Remote Work

必須スキル

SystemVerilog

Digital Logic Design

Computer Architecture

Python

Linux Shell

Git

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.

Samba Nova 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 Samba Nova 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.

Sambanova Hardware Design Engineers are responsible for designing component units of the Reconfigurable Dataflow Unit ASICs deployed in our AI workload acceleration systems. They work alongside architects, design verification engineers, and physical design engineers to implement innovative features in hardware which provide unique value to Sambanova.

Key Responsibilities:

  • Define and document microarchitecture specifications for complex digital design elements for compute, memory, or networking subsystems

  • Code, integrate, and debug System Verilog RTL designs through the chip implementation and production lifecycle

  • Meet targets for Power, Performance and Area (PPA) using advanced digital design techniques for high-speed design

  • Work alongside design verification and physical design team owners to converge

  • Work with architects and software teams to prototype new features which improve application-level performance

  • Mentor junior design engineers on high-speed digital design techniques

  • Drive improvements into the design flow using AI and automation, including new EDA tool methodologies

Required Qualifications:

  • Minimum required education: Master’s or PhD degree in Computer Engineering or Electrical Engineering

  • Computer architecture and digital logic design

  • Knowledge of AI workload acceleration techniques and industry standard interconnects and protocols (e.g. AXI, PCIe, Ethernet, HBM/DDR)

  • Mastery of System Verilog design techniques for high speed, high performance ASICs

  • Demonstrated skill in converging functionality while making design decisions trading off Power, Performance, and Area (PPA)

  • Experience in digital logic synthesis tools and Static Timing Analysis (STA)

  • Proficiency in using industry standard tools for linting, Clock Domain Crossing (CDC), and Logical Equivalence Checking (LEC)

  • Proficiency in using tools and simulators for hardware performance analysis and tuning

  • Experience implementing System Verilog Assertions (SVA) for checking design intent

  • Familiarity with Git version control tool for managing release cycles

  • Scripting skills in Python and Linux Shell

How to Apply

Please submit your resume along with a cover letter. In your cover letter, we encourage you to describe your experience with a large-scale system you've architected, particularly any involving billing, entitlements, or monetization. Highlight the challenges you faced in ensuring scalability, reliability, and accuracy, and how you overcame them.

Submission Guidelines
Please note that in order to be considered an applicant for any position at Samba Nova Systems, you must submit an application form for each position for which you believe you are qualified.

EEO Policy
Samba Nova 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.

Benefits Summary for US-Based, Full-Time Employment Positions

Samba Nova 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.

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SambaNovaについて

SambaNova

SambaNova

Public

Intel Capital Corporation started off as the investment arm of Intel Corporation in 1991 and in January 2025, it spun off as a standalone investment fund.

201-500

従業員数

Santa Clara

本社所在地

レビュー

4.3

10件のレビュー

ワークライフバランス

3.8

報酬

4.2

企業文化

4.5

キャリア

4.0

経営陣

3.5

78%

友人に勧める

良い点

Supportive team and management

Good work-life balance and flexibility

Competitive salary and benefits

改善点

Fast-paced and high-pressure environment

Heavy workload and overtime expectations

Management direction and communication issues

給与レンジ

35件のデータ

Staff/L6

Staff/L6 · Principal Technical Writer

1件のレポート

$172,500

年収総額

基本給

$150,000

ストック

-

ボーナス

-

$172,500

$172,500

面接体験

1件の面接

難易度

4.0

/ 5

期間

14-28週間

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit