NVIDIA

Senior Full-Stack Software Engineer - VLSI Tools

DURHAM, NCPosted a month ago

Job summary

  • Job post source

    This job is directly from NVIDIA

  • Job overview

    The Senior Full-Stack Software Engineer role at NVIDIA involves developing scalable web applications and services to enhance VLSI chip design productivity within the Hardware Infrastructure team.

  • Responsibilities and impact

    The engineer will design and develop backend and frontend web applications for VLSI design, consult with end users, analyze performance bottlenecks, maintain large-scale data platforms, and build microservices for big-data scenarios.

  • Compensation and benefits

    The base salary ranges from $148,000 to $287,500 depending on location and experience, with eligibility for equity and benefits.

  • Experience and skills

    Candidates need 5+ years experience, a degree in Computer Science or related field, knowledge of VLSI design, proficiency in JavaScript, Node.js, modern frontend frameworks, distributed microservices, database concepts, and strong object-oriented design skills; familiarity with coding assistant tools, SQL, Python or Golang, and chip design web services is preferred.

  • Work environment and culture

    NVIDIA values diversity and inclusion, fostering a dynamic and diverse work environment with high production quality standards and Agile methodologies.

  • Company information

    NVIDIA is a leading technology company known for its GPU innovations and contributions to high-performance computing, AI, and visualization, powering advancements from AI to autonomous vehicles.

  • Team overview

    The candidate will join the Hardware Infrastructure team focused on building scalable web services for VLSI designs in an Agile software development environment.

  • Application process

    Applications are accepted on an ongoing basis; specific instructions or deadlines are not provided.

  • Unique job features

    The role offers opportunities to work on cutting-edge VLSI design tools and scalable big-data microservices within a leading tech company.

Company overview

NVIDIA is a leading technology company known for designing and manufacturing graphics processing units (GPUs) for gaming, professional visualization, data centers, and automotive markets. They generate revenue primarily through the sale of GPUs and related software, as well as through their growing presence in AI and machine learning sectors. Founded in 1993, NVIDIA has a rich history of innovation, including the introduction of the CUDA platform, which revolutionized parallel computing. Their recent advancements in AI, autonomous vehicles, and high-performance computing continue to position them at the forefront of technological development.

How to land this job

  • Tailor your resume to highlight your expertise in full-stack web application development with emphasis on JavaScript, Node.js, and modern frontend frameworks such as Vue.js or React.js to match NVIDIA's VLSI tools team requirements.

  • Showcase your experience in designing and developing distributed microservices and your understanding of database concepts, including both SQL and NoSQL technologies, to align with the job's backend infrastructure needs.

  • Apply through multiple platforms including NVIDIA's official careers page and LinkedIn to maximize your application visibility and access to different hiring channels.

  • Connect on LinkedIn with current engineers and team members in NVIDIA's Hardware Infrastructure division; start conversations by referencing NVIDIA's cutting-edge work in AI and VLSI or asking about their experience working on scalable web services for chip design.

  • Optimize your resume for ATS by incorporating key phrases from the job description like 'VLSI design,' 'microservices,' 'Node.js,' 'JavaScript,' 'distributed systems,' and 'web applications' to ensure your resume passes automated screenings.

  • Leverage Jennie Johnson's Power Apply feature to automate multi-channel applications, tailor your resume for ATS, and identify LinkedIn connections to network with, allowing you to focus your energy on preparing for interviews and skill enhancement.

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