채용

Senior System Software Engineer, Deep Learning Accelerator
India, Bengaluru
·
On-site
·
Full-time
·
1mo ago
필수 스킬
Linux
We are searching for an extraordinary Sr. System SW Engineer for an exciting and fun role in our Deep Learning Accelerator (DLA/NPU) team. Our team is responsible for the end-to-end DLA system sw stack including user mode drivers, kernel mode drivers, and the firmware, as well as the DLA compiler toolchain stack. DLA supports a growing range of deep-learning use-cases, ranging from self-driving cars, smart embedded systems, video game frameworks, and content creation.
You will be responsible for developing and maintaining system software drivers for next generation NVIDIA deep-learning hardware. A strong candidate will have good leadership, communication, organizational, and problem solving skills. Experience developing low level software drivers for programming rich HW acceleration engines is required. Familiarity with deep learning is desired.
What you'll be doing:
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Design and maintain low-level drivers for next generation NVIDIA hardware
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Layout and maintain software driver verification
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Design and sustain performance and precision modeling
What we need to see:
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You should have a Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)
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12+ years of experience developing and leading complex low-level or system software projects
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Strong interpersonal, verbal, and written communications skills with a capability to achieve objectives under tight deadlines
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Experience designing, developing, and maintaining complex system software stacks
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Need to demonstrate strong C programming skills with experience working with large codebases
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Background with operating system interfaces for threads, process control, and virtual memory
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Experience writing and debugging multithreaded programs
Ways to stand out from the crowd:
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Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
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Experience with kernel mode development
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Experience with Linux, Windows, or macOS driver development
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Familiarity with Deep Learning
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Some familiarity with C++
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
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NVIDIA 소개

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
직원 수
Santa Clara
본사 위치
$4.57T
기업 가치
리뷰
4.1
10개 리뷰
워라밸
3.5
보상
4.2
문화
4.3
커리어
4.5
경영진
4.0
75%
친구에게 추천
장점
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
단점
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
연봉 정보
73개 데이터
Junior/L3
Mid/L4
Junior/L3 · Analyst
7개 리포트
$170,275
총 연봉
기본급
$130,981
주식
-
보너스
-
$155,480
$234,166
면접 경험
7개 면접
난이도
3.1
/ 5
경험
긍정 0%
보통 86%
부정 14%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
자주 나오는 질문
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
뉴스 & 버즈
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
News
·
NaNw ago
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
News
·
NaNw ago
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
News
·
NaNw ago
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
News
·
NaNw ago