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Senior Software Engineer, JAX

Remote, the UK·Added yesterday (last checked 13 Oct)

NVIDIA

68 open roles

Overview

Work mode
Remote from the UK

Skills

The role

NVIDIA is hiring senior engineers to develop its AI platform and more specifically its performance optimizations in deep learning frameworks using JAX, a tool that can differentiate between Python control code and NumPy code. Our goal is to deliver a polished, fast, modular and coordinated platform to handle data, training and analysis for a wide range of deep learning solutions using JAX. To achieve this and provide an excellent user experience, you have strong programming skills and excellent system design skills. You should have excellent communication and planning skills for this role. Come join us to build the next generation of tooling that will advance the numerical computing and machine learning research around the world!

What you will be doing

  • Play meaningful role in NVIDIA's effort in contributing to JAX.

  • Design and implement JAX core components and drive peak performance on NVIDIA products.

  • Work with AI applied researchers and leaders to build future-proof models

  • Build tools that will increase the efficiency of teams developing AI-based systems.

  • Work to bridge the gap between the latest in numerical computing, simulation and deep learning research and their applications in real world products.

What we need to see

  • BS in Computer Science or Computer Engineering or related field (or equivalent experience).

  • 6+ years relevant experience.

  • C/C++ and Python programming.

  • Experience with machine learning frameworks and their internals (e.g. PyTorch, TensorFlow, scikit-learn, etc.).

  • Proven ability developing customer-facing solutions, balancing feature requests and bugs.

  • Proven technical foundation in CPU and GPU architectures, numeric libraries, modular software design.

  • Highly motivated with excellent verbal and written communication skills.

  • Ability to work successfully with multi-functional teams, principles and architects. Coordinates effectively across organizational boundaries and geographies.

Ways to stand out from the crowd

  • Understanding of JAX, Autograd, tracing, code generation and DSL compilers and their design.

  • Understanding of deep learning training in distributed contexts: multi-GPU, multi-node, synchronous vs asynchronous.

  • Background with software shipping cycles (dev, deploy, release, CI).

  • Experience building distributed systems and services at large scale.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 292,500 PLN - 507,000 PLN for Level 4, and 375,000 PLN - 650,000 PLN for Level 5.

Hiring process

3 steps2 interviewsa matter of weeks from the first interview in all
  1. Search and apply

  2. Phone interviews

    Phone call

    Full-time candidates typically start with phone interviews.

  3. Virtual or in-person interviews

    With hiring manager, team members and employees from other groups · 30–60 min

    One-on-one, small-group or panel interviews with the hiring manager, team members and people from other groups; an onsite in-person interview at an office is required before an offer.

  4. Insider Chat

    With a community resource group member · 15 min · Not every role

    An optional 15-minute conversation with a community resource group member that does not influence the hiring decision.

  5. Decision and offer

  • Applicants selected to move forward hear from recruiting within a couple of weeks.
  • Most candidates have a decision within weeks of their first interview.
  • Technical candidates may complete coding exercises on HackerRank.

About NVIDIA

Industry
Technology
Founded
1993
Employees
26,000–30,000
Headquarters
Santa Clara, USA
Website
nvidia.com
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