[Remote] Developer Relations Manager - ANZ at NVIDIA

Australia

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Technology, HPC, RoboticsIndustries

Requirements

BS or MS or equivalent experience in Engineering, Mathematics, Physics, or Computer Science (or similar professional background)
More than 10 years of work experience in a technical leadership role and developing GPU accelerated computing solutions
Hands-on experience with Generative AI and LLM ecosystem in the context of startups, ISVs, data repositories, CSP services, and SaaS/platform offerings
Strong analytical and problem-solving skills, with deep empathy for developers
Clear written and oral communication skills with a proven track record to articulate value propositions to executive and technical audiences
Strong project management skills: ability to plan, prioritize, and drive forward multiple projects simultaneously, while engaging with internal and external collaborators
Extensive knowledge and experience with recent advancements in LLMs, VLMs, Agentic AI, and Gen AI
Hands-on experience with software architecture development, implementation, and programming skills
Enthusiastic about AI and its ongoing expansion, motivated by self-improvement and dedicated to achieving specific goals
Ways to stand out
Experience developing with ML/DL frameworks and AIOps/MLOps ecosystem of partners and solutions in the cloud and on-prem
Background and empathy for software engineering and application development
Exposure to NVIDIA AI Software (NeMo, Triton, RAPIDS, etc.)

Responsibilities

Profound comprehension of AI for Robotics, Gen AI workflows, and LLM advancements, developing ecosystem and partnerships, participating in conferences, establishing a circle of influencers, and monitoring ongoing opportunities
Proactively seek opportunities to solve AI problems that can be accelerated by positioning NVIDIA AI SW and be a catalyst in ideation, prioritisation, and driving for adoption
Position NVIDIA tools, libraries, and SDK’s or equivalent experience with developers across ANZ to accelerate their AI Development journey
Discover new workflows, identify blockers to adoption, and report back to the product teams
Collaborate with NVIDIA partner managers, solution architects, industry business development managers, sales, and marketing

Skills

GPU Accelerated Computing

Robotics

Generative AI

LLM

SDK

Developer Relations

Ecosystem Partnerships

Conferences

Partner Management

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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