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Remote Nvidia Machine Learning Jobs in Texas (NOW HIRING)

Senior AI/ML Engineer - Hybrid

Irving, TX ยท On-site +1

$87K - $151K/yr

... of advanced machine learning and generative AI solutions. In this role, you will work at the ... The starting pay range for this remote role is $87,120-$151,250. This range reflects the minimum ...

Senior AI/ML Engineer - Hybrid

Irving, TX ยท On-site +1

$87K - $151K/yr

... of advanced machine learning and generative AI solutions. In this role, you will work at the ... The starting pay range for this remote role is $87,120-$151,250. This range reflects the minimum ...

AI Red Teamer

Austin, TX ยท On-site +1

Hands-on experience with adversarial machine learning techniques and tools (e.g., Foolbox ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

Modeling Scientist

Houston, TX ยท On-site

$100K - $160K/yr

Remote Base Salary Range : $100k - $160k base salary The Modeling Scientist is responsible for ... Working at the intersection of statistics, machine learning, and process-based ecosystem modeling ...

Modeling Scientist

Houston, TX ยท On-site +1

$100K - $160K/yr

Remote Base Salary Range : $100k - $160k base salary The Modeling Scientist is responsible for ... Working at the intersection of statistics, machine learning, and process-based ecosystem modeling ...

... Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline Must have * Understanding of various machine learning algorithms (e.g. SVM, Random Forests ...

Lead Research Engineer

Frisco, TX ยท On-site +1

$95K - $126K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Data Engineer

Dallas, TX ยท On-site +1

$113K - $136K/yr

Exposure to machine learning pipelines, MLOps concepts, or AI-driven data workflows preferred ... is Hybrid Remote. We offer several comprehensive benefits package including health and life ...

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Showing results 1-20

Remote Nvidia Machine Learning information

Can you work for NVIDIA remotely?

Remote Nvidia machine learning roles are available, with many positions allowing employees to work from home depending on the team and project requirements. Candidates typically need strong technical skills in machine learning, experience with Nvidia tools like CUDA, and may require specific certifications or hardware setup for remote work. Availability varies by role and location policies.

Which 5 jobs will survive AI?

Remote Nvidia Machine Learning roles are likely to persist as they require specialized skills in AI, deep learning, and GPU programming. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI researchers, software engineers, cybersecurity specialists, and technical trainers, are expected to remain in demand despite AI advancements.

How much do NVIDIA machine learning engineers make?

NVIDIA machine learning engineers typically earn between $100,000 and $160,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized expertise in deep learning and GPU programming can earn higher salaries, often exceeding $180,000. Compensation may also include bonuses and stock options in competitive tech environments.

Is it difficult to get hired at NVIDIA?

Getting hired for a remote Nvidia machine learning role can be competitive due to the company's high standards and specialized skill requirements. Candidates typically need strong expertise in machine learning, deep learning frameworks, and relevant programming languages, along with a solid educational background. Demonstrating experience with Nvidia technologies and certifications can improve chances of selection.

What is the difference between Remote Nvidia Machine Learning vs Remote Data Scientist?

AspectRemote Nvidia Machine LearningRemote Data Scientist
Required CredentialsDeep learning, GPU programming, Nvidia certificationsStatistics, programming, data analysis
Work EnvironmentFocus on GPU-accelerated ML models, Nvidia toolsData analysis, modeling, visualization
Industry UsageAI, autonomous vehicles, gaming, HPCBusiness analytics, research, finance

Remote Nvidia Machine Learning specialists focus on developing GPU-accelerated AI models using Nvidia technologies, often requiring specific certifications and expertise in GPU programming. In contrast, Remote Data Scientists analyze data, build predictive models, and interpret results across various industries. While both roles involve data and programming skills, Nvidia Machine Learning roles are more specialized in GPU-based AI development, whereas Data Scientists have broader data analysis responsibilities.

What are the most commonly searched types of Nvidia Machine Learning jobs in Texas? The most popular types of Nvidia Machine Learning jobs in Texas are:
What cities in Texas are hiring for Remote Nvidia Machine Learning jobs? Cities in Texas with the most Remote Nvidia Machine Learning job openings:
Technical Product Manager for AI Security Products

Technical Product Manager for AI Security Products

HiddenLayer

Austin, TX โ€ข On-site, Remote

$165K - $191K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 22 days ago


Job description

Technical Product Manager for AI Security Products

Remote [within the US]

ABOUT THE ROLE:

HiddenLayer is entering an exciting new chapter in our company history and we are seeking a Technical Product Manager for our AI Security products to drive the development of a groundbreaking cybersecurity platform to secure and protect against adversarial AI attacks. In this role, you'll have the opportunity to work with industry pioneers in data science and artificial intelligence threat research in a fast-paced emerging market.

As a Product Manager with a strong background in cybersecurity and AI, you will play a crucial role in the development, enhancement, and delivery of HiddenLayer's AISec Platform to protect and defend generative AI and agentic systems against cybersecurity threats and attacks.

WHO WE ARE:

HiddenLayer protects the world's most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely.

Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.

WHAT YOU'LL DO:

You will be responsible for translating customer needs, technical insights, and the evolving Adversarial AI threat landscape into actionable product capabilities and detection techniques. Your exceptional understanding of both machine learning and cybersecurity will allow you to effectively guide cross-functional teams, bridging the gap between sales engineering, product development, data science, threat research, and professional services.

  • Product Roadmap Planning: Manage, maintain, and prioritize HiddenLayer's backlog of product and feature ideas
  • Product Execution: Collaborate with internal stakeholders (engineering, data science, and threat research) to define requirements and deliver high-quality product capabilities and user experience
  • Adversarial AI Threat Landscape: Maintaining vigilance and knowledge of the Adversarial AI Threat Landscape and MITRE ATLAS to define and prioritize detection requirements for HiddenLayer's products
  • Market Analysis: Conduct comprehensive market research and competitive analysis to identify emerging trends, opportunities, and potential threats in the machine learning and cybersecurity landscape
  • Customer Insights: Engage with customers and gather feedback to understand their pain points, requirements, and preferences to drive product improvements.
  • Requirements Definition: Clearly define product requirements, use cases, and specifications, collaborating with engineering, data science, and threat research teams to ensure the feasibility and effectiveness of solutions

Go-to-Market Launches: Coordinate product launches and develop effective go-to-market strategies, collaborating with marketing, sales, and support teams to drive product adoption and success in the market.

WHO YOU ARE:

  • Candidates could be:
    • Technical Product Managers in data science or machine learning operations who seek to delve into cybersecurity
    • Technical Product Managers in cybersecurity who have data science or AI operations experience
    • Former Data Scientists, AI Engineers, or developers who want to make a career pivot into product management
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • In-depth knowledge of AI techniques, algorithms, frameworks, and AI Operation tools.
  • Strong understanding of cybersecurity principles, best practices, and industry standards.
  • Experience working with cross-functional teams, including engineering, data science, threat research, marketing, sales, and support.
  • Proficient in Agile product development methodologies and project management tools.
  • Excellent communication, presentation, and interpersonal skills.
  • Ability to analyze complex technical challenges and propose effective solutions.
  • Prior experience in developing and/or launching successful machine learning and/or cybersecurity products is a plus.
  • Flexible and adaptable self-starter with strong relationship building skills
  • Collaborative and team oriented attitude
  • Intellectual curiosity, humility, accountability, and positive approach

WHY HIDDENLAYER?

We're moving at (what feels like) the speed of light. HiddenLayer is a venture-backed company and recently closed a $50M funding round led by M12, Microsoft's Venture Fund, and Moore Strategic Ventures.

Attracting and retaining the very best people is our #1 priority. That's why we offer our team best-in-class benefits, including:

  • Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses.
  • Comprehensive Health & Wellness Benefits: Better than your average startup healthcare benefits. With five options to choose from, of which are fully subsidized by HiddenLayer, we offer a variety of options to fit each person's needs. We also offer vision, dental, and 401k offerings.
  • Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays.
  • Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events.
  • Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer.

To learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter.

HiddenLayer is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.