NVIDIA

Artificial Intelligence

Manager,DeepLearningAlgorithms

$345–702k Warsaw, Poland FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Manager, Deep Learning Algorithms at NVIDIA. Skills: Deep Learning, Algorithms, Leadership, Software Engineering. Lead engineering activities. Productizing Deep Learning models”

Industry & Context.

Artificial Intelligence
Eligibility Requirements

Travel to conferences, Travel to other sites, Visit customers occasionally

What They're Looking For.

Must Have

BSc, 8 years related of overall experience, 3 years of management/leadership experience, Experience leading multiple software engineering projects, algorithms and DL skills or experience, Excellent programming, debugging, performance analysis, and test design skills, Great communication

Nice to Have

Experience with inference of DL models, Experience doing performance analysis and tuning, Exposure to HW architecture, ideally accelerators, and to numerical software, Project management tools (e. g. JIRA, Microsoft Project)

What You'll Do.

Lead engineering activities

Productizing Deep Learning models

Implement and improve algorithms

Lead and mentor engineers

Own related activities

Interactions with teams

Optimize training workloads

Deploy training workloads

Optimize inference workloads

Deploy inference workloads

How You'll Work.

Team & Collaboration

Collaborate with internal customers; Align priorities across business units; Coordinate projects across geographic locations; Interactions with teams across NVidia

Communication Scope

Excellent interpersonal skills; Great communication

Process & Methodology

Plan projects, Schedule projects, Lead execution of projects, Project management tools

Full Job Description

NVIDIA is seeking an engineering manager to lead engineering activities related to productizing Deep Learning models. Academic and commercial groups around the world are using GPUs to redefine Artificial Intelligence and data analytics, and to power data centers. Join the team building software which will be used by the entire world. Interact with the scientific community to implement and improve the latest algorithms. Ability to work in a multifaceted, product-centric environment is required and excellent interpersonal skills are also a requirement. If you have a good understanding for deep learning and a strong algorithmic background, with exposure to computer architecture and performance, and leadership experience, then this role may be a great one for you! In this role you will lead and mentor forward-thinking engineers and will own related activities and interactions with teams across NVidia. You will be working with key internal partners on priority alignment across relevant teams for roadmap development of highly optimized novel and state-of-the-art numerical, analytics, and deep learning algorithms and associated R&D duties. If the idea of pushing the boundaries of state-of-the-art research and development excites you, and are interested in getting exposure to the entire DL SW stack, come join the team that build the GPU-accelerated DL platform used by the entire world. **What you’ll be doing:** * Plan, schedule, mentor, and lead the execution of projects and activities of the team. Including creating, optimizing, and deploying training and inference DL workloads. * Collaborate with internal customers to align priorities across business units * Coordinate projects across different geographic locations * Grow and develop a world-class team * Travel to conferences, other sites, or visit customers occasionally **What we need to see:** * Minimum requirement of BSc, 8 years related of overall experience, including 3 years of management/leadership experience, or a

Free ATS check

Applying for this Manager, Deep Learning Algorithms role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about NVIDIA?

Real rants from real employees. Read before you apply.

Read Company Rants →