NVIDIA Corporation

Product Manager - BioNeMo Inference

NVIDIA Corporation$148K — $224K *
Pharmaceuticals & Biotech
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Masters degree or equivalent experience in Electrical, Mechanical, Materials, or related fields.
  • 5+ years of experience in Software Engineering, Deep Learning, and Large Scale AI deployment.
  • Extensive understanding of software development, machine learning, and bioinformatics.
  • Prior experience in product management with a history of launching technical products.
  • Knowledge of the life sciences industry, including bioinformatics and genomics.
  • Excellent communication and leadership skills for diverse team collaboration.

Responsibilities

  • Develop and implement a full-stack inference strategy for the BioNeMo platform.
  • Liaise between the Digital Biology ecosystem and NVIDIA's cross-functional teams.
  • Define and prioritize product features based on customer needs and technical feasibility.
  • Communicate product vision and strategy to collaborators and management.
  • Collaborate with sales and marketing to create go-to-market strategies.
  • Monitor product performance and gather customer feedback for improvements.
  • Stay updated on AI innovations to inform the product roadmap.

Benefits

  • Equity options as part of the compensation package.
  • Comprehensive health benefits including medical, dental, and vision coverage.
  • Flexible work environment with remote work options.
  • Opportunities for professional development and continued learning.
Full Job Description
What you'll be doing:
  • Develop and carry out a full-stack inference strategy for the BioNeMo platform, including NVIDIA Inference Microservices (NIMs) and Blueprints, aligned with company goals and objectives.
  • Act as a liaison between the Digital Biology ecosystem and the rest of NVIDIA. Communicate the ecosystem priorities to the horizontal product teams and influence roadmaps to include feature development relevant for the bio ecosystem.
  • Define and prioritize product features and requirements, balancing customer needs, technical feasibility, and business goals.
  • Communicate product vision, strategy, and progress to collaborators and senior management, providing regular updates and reports.
  • Collaborate with sales and marketing teams to develop go-to-market strategies, messaging, and positioning for the product.
  • Monitor product performance and gather feedback from customers and users, using data to drive continuous improvements and inform future product development.
  • Keep informed about developments and innovations in artificial intelligence and bio-inspired neural modeling, and apply knowledge to guide the product roadmap.


What we need to see:
  • Masters degree (or equivalent experience) in Electrical, Mechanical, Materials, or other related fields.
  • 5+ years of experience in Software Engineering, Deep Learning, Large Scale AI deployment.
  • Deep technical foundation: should possess an extensive understanding of software development, machine learning, and bioinformatics. This involves familiarity with programming languages, frameworks, and tools frequently employed in these areas.
  • Experience with product management: the ideal candidate should have prior experience in product management or equivalent, with a track record of successfully launching and managing technical products. This includes the ability to build product roadmaps, gather and prioritize requirements, and work cross-functionally with engineering, marketing, and sales teams.
  • Knowledge of the life sciences industry, including current trends and challenges. This involves understanding bioinformatics, genomics, and drug discovery processes.
  • Excellent communication and leadership skills: this role will require the candidate to effectively communicate complex technical concepts to both technical and non-technical collaborators. They should also be able to lead and collaborate with a diverse team of engineers, data scientists, and product managers.


Ways to stand out from the crowd:
  • Hands-on experience with NVIDIA products like NIMs, TensorRT-LLM, vLLM
  • Hands-on experience with deployment of large-scale AI models for production workloads.
  • Familiarity with ISV platforms and understanding of how product integrations work for ISVs.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 224,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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