AI Jobs

Benefits:

• 20 days of annual leave

• Virtual Shares

• Hybrid work

• flexible hours

• Hack Fridays

Experience Requirements:

• 3+ years of work experience

• 1 year in client-facing software implementation

• Proven experience project managing customer implementations

Other Requirements:

• Fluency in Japanese

• Working proficiency in English

• Strong written and verbal presentation skills

• Familiarity with technical concepts related to SaaS products

• Ability to navigate ambiguous situations

Responsibilities:

• Own the onboarding and implementation process

• Serve as the customer’s project manager

• Teach and empower new customers

• Troubleshoot challenges that customers experience

• Interface with internal DeepL teams

Benefits:

• 20 days of annual leave

• Hybrid work

• flexible hours

• Regular in-person team events

• Monthly hacking sessions

Experience Requirements:

• 3+ years of Customer Support experience (SAAS) in a technical support capacity

• Experienced in working with international teams

• Experience with customer subscription systems, APIs, SSO, JIRA

Other Requirements:

• Fluent in English

• Experienced in tools such as Postman

• Ability to work 8-hour shifts between 6 am and 5 pm

• Willingness to participate in an on-call rota

• Empathetic and collaborative

Responsibilities:

• Provide responses via support system to Premium Customers

• Maintain high service standards and troubleshoot issues

• Identify product bugs and feature requests

• Tackle complex customer requests including technical issues

• Collaborate with the Customer Success and Sales teams

Benefits:

• 30 days of annual leave

• Virtual Shares

• Hybrid work

• flexible hours

• Hack Fridays

Experience Requirements:

• 3+ years of experience leading high-performing teams

• 5+ years in Product Enablement or Customer Education

• Experience building scalable operating models

Other Requirements:

• Domain Expertise in SaaS

• Cross-Functional Influence

• Data-driven and fluent in enablement platforms

• Passion for explaining product value

• Experience with AI-enabled knowledge workflows is a plus

Responsibilities:

• Evolve Product & Customer Enablement programs

• Lead and Develop Talent

• Drive Launch Readiness for internal teams

• Strengthen Product Knowledge at Scale

• Create Segment-Based Enablement for customers

Experience Requirements:

• Significant leadership experience in Customer Support or CX

• Track record of managing managers in high-growth tech

• Experience evolving support models

• Experience with modern support platforms (Zendesk, Salesforce)

Other Requirements:

• Multilingual communication in Japanese and English

• Stakeholder mastery

• Strategic thinking with hands-on problem-solving

• Adaptability and proactive nature

• Customer-first, outcome-driven mindset

Responsibilities:

• Drive the regional vision for Japan and APAC

• Own regional performance outcomes

• Lead, coach, and develop team leaders

• Evolve the Customer Support craft

• Refine operational engine and workflows

Benefits:

• Equity

• Health benefits

Education Requirements:

• Masters in Computer Science/Electrical Engineering or equivalent experience

Experience Requirements:

• 8+ years machine learning/deep learning research or practical experience

• 7+ years leadership background

• 15+ years industry experience

• 10+ years validated expertise in embedded software sector

Other Requirements:

• PhD or equivalent experience in a relevant field

• Leadership role in production deployment of Smart Spaces

• Deep experience with CV, LLMs, VLMs, GenAI Models

Responsibilities:

• Lead and develop engineering and data teams distributed across Europe, Asia and the United States

• Architect and operationalize NVIDIA’s end-to-end data Inference Acceleration strategy

• Drive Strategic Implementations of TensorRT, VLLM and other accelerated frameworks

• Collaborate with major Metropolis OEMs and Partners to architect optimized custom models

• Orchestrate efforts to achieve leading performance results on industry benchmarks like MLPerf

Benefits:

• Equity

• Health benefits

Education Requirements:

• Master's degree or equivalent experience in Electrical Engineering or related field

Experience Requirements:

• 5+ years of experience in EMIR flow methodology development and support

Other Requirements:

• Experience in crafting custom workflows from scratch

• Experience using AI tools to improve capabilities in the power integrity domain

Responsibilities:

• Developing physical design methodologies for rail analysis and signoff

• Creating solutions for pioneering IR analysis and signoff

• Crafting workflows and tool methodologies for power and noise analysis

Benefits:

• Competitive salaries

• Comprehensive benefits package

• Equity

Education Requirements:

• M.S./Ph.D. degree in CS/CE or equivalent experience

Experience Requirements:

• 5+ years of relevant experience

Other Requirements:

• Experience with CUDA programming and NVIDIA GPUs

• Knowledge of high-performance networks like InfiniBand

• Experience with Deep Learning Frameworks such PyTorch, TensorFlow

Responsibilities:

• Design and maintain highly-optimized communication runtimes for Deep Learning frameworks

• Participate in parallel programming interface specifications like MPI/OpenSHMEM

• Implement system software enabling interactions among GPUs

• Create proof-of-concepts to evaluate extensions in programming models

Benefits:

• Competitive salaries

• Generous benefits package

Education Requirements:

• Bachelor’s degree in Electrical Engineering, Computer Science, or a related technical field

Experience Requirements:

• 6+ years of Executive Level Management experience

• 15+ years in test operations

Other Requirements:

• ATE platform (93K or ULFX) experience

• ATE Hardware (Loadboard, probe cards) experience

• OSAT Factory experience

Responsibilities:

• Guiding and directing teams of production test engineers

• Developing and implementing test manufacturing strategies and processes

• Collaborating with cross-functional teams to implement test plans

• Leading teams to support mass production operation problem solving

• Analyzing test data and operation KPI to determine trends

Benefits:

• Equity

• Benefits

Education Requirements:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields

Experience Requirements:

• 3+ years of Solutions Engineering experience

• 3+ years of work-related experience in Deep Learning and Machine Learning

Other Requirements:

• AWS, GCP or Azure Professional Solution Architect Certification

• Hands-on experience with NVIDIA GPUs and SDKs (CUDA, RAPIDS, Triton)

• Knowledge of DevOps/ML Ops technologies such as Docker and Kubernetes

Responsibilities:

• Working with Cloud Service Providers to develop ML/DL solutions

• Build and deploy AI/ML solutions at scale on cloud-based GPU platforms

• Build custom PoCs for solutions addressing critical business needs

• Partner with Sales Account Managers to identify new business opportunities

• Prepare and deliver technical content and workshops to customers

Education Requirements:

• University degree or equivalent experience within economics/international business combined with computer science background

Experience Requirements:

• 12+ years of senior-level experience driving SaaS and Cloud partnerships across EMEA

Other Requirements:

• Technical fluency to navigate architectural discussions

• Proficient English plus additional 2-3 languages

• Startup and get things done mentality

Responsibilities:

• Build strategic partnerships on cloud-based offerings within EMEA

• Bridge the gap between business needs and technical execution

• Develop and implement a GTM strategy and business planning

• Create measurable outcomes working with different ecosystem players

• Drive Partner and Pathway Funnel, Pipeline and Revenue

Benefits:

• Equity

• Benefits

Education Requirements:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields

Experience Requirements:

• 3+ Years in Solutions Architecture

• 3+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow

Other Requirements:

• Active contributions to open-source AI inference projects

• Experience optimizing and deploying large MoE LLMs at scale

• Experience with Multi-GPU Multi-node Inference technologies

Responsibilities:

• Help cloud customers craft and maintain GPU-accelerated inference pipelines

• Enhance performance tuning using TensorRT, vLLM, and Triton Inference Server

• Offer technical mentorship to cloud customers implementing AI inference at scale

• Build custom PoCs for solutions addressing business needs

• Partner with Sales Account Managers to identify new business opportunities

Education Requirements:

• Practical Engineer or Technician in Electronic

Experience Requirements:

• At least 2 years of hands-on experience in a hardware lab environment

Other Requirements:

• Experience working with high-speed interfaces (PCIe, Ethernet, SerDes)

• Familiarity with thermal/mechanical test setups

• Experience with test automation

Responsibilities:

• Be the group labs manager

• Support the group for logistics and purchase orders

• Perform hands-on board bring-up, validation, and debugging activities

• Operate lab equipment in time and frequency domains

• Support hardware investigations by reading schematics and analyzing layouts

Education Requirements:

• BS/MS/PhD in Electrical Engineering, Computer Engineering, or equivalent area

Experience Requirements:

• 8 years or more of relevant experience in system design or ASIC/SoC architecture

Other Requirements:

• Deep understanding of communication interconnect protocols (NVLink, Ethernet, InfiniBand)

• Experience with RDMA/RoCE or InfiniBand transport offload architectures

• Background in system design for AI and HPC

Responsibilities:

• Architect multi-GPU system topologies for scale-up and scale-out configurations

• Define and evaluate future architectures for high-speed interconnects

• Collaborate to architect RDMA-capable hardware and transport layer optimizations

• Use and modify system models to guide design trade-offs

• Work with ASIC and software teams to enable hardware-software co-design

Benefits:

• Competitive salaries

• Comprehensive benefits package

• Equity

Education Requirements:

• Bachelors degree or equivalent experience

Experience Requirements:

• Over 8 years of experience in distribution technology sales

Other Requirements:

• Experience with IT distribution channels such as Arrow, Ingram Micro, TD SYNNEX

• Understanding of data science workflows and generative AI impact

• Strong executive presence and political savvy

Responsibilities:

• Managing the relationship between NVIDIA OEM leadership and distribution partners

• Acting as a subject matter authority for OEM partners like Dell, HPE, Lenovo, and Cisco

• Guiding distribution OEM engagement in sales and technical marketing

• Monitoring sales results of OEM partners through North American distributors

• Coordinating co-marketing initiatives and promotional campaigns

Benefits:

• Equity (RSUs) in the company

• Comprehensive medical, dental, and vision plans

• 12 weeks of paid parental leave

• Flexible vacation and sabbatical program

• Mental health resources, therapy and coaching

Experience Requirements:

• 1+ years of experience in a technical support role

• Experience in SaaS or technical services

• Proficient in HTML, CSS, DNS, JavaScript

Other Requirements:

• Must be able to work weekends (Sunday - Wednesday or Saturday - Wednesday)

• Strong written and verbal communication skills in English

• Stay curious and open to growth in emerging technologies like AI

Responsibilities:

• Deliver consistently exceptional customer experiences

• Assist customers in support queues, chat, and phone

• Document and report bugs and resolve issues

• Advocate for customers' needs to improve products

Benefits:

• Equity (RSUs) in the company

• Comprehensive medical, dental, and vision plans

• 12 weeks of paid parental leave

• Flexible vacation and sabbatical program

• Mental health resources, therapy and coaching

Experience Requirements:

• Demonstrated high-touch customer support experience in SaaS

• Proficient in HTML, CSS, DNS, JavaScript

• Experience with Zendesk, Stripe, Google Workspace, Slack, or Confluence

• Bonus: 1+ years of experience in a technical support role

Other Requirements:

• Business-level fluency in English

• Comfortable working Monday to Friday from 10am-7pm GMT-3

• Open to building fluency in emerging technologies like AI

Responsibilities:

• Deliver exceptional customer experiences via chat, email, and phone

• Troubleshoot, file, and track bugs

• Advocate for customer needs by surfacing feedback

• Partner with support engineering to surface blockers

• Contribute to internal documentation and knowledge sharing

Benefits:

• Equity (RSUs) in the company

• Comprehensive medical, dental, and vision plans

• 12 weeks of paid parental leave

• Flexible vacation and sabbatical program

• 401(k) with 100% employer match up to $6,000

Experience Requirements:

• 4+ years improving or operating support systems

• Hands-on experience configuring platforms like Zendesk or Salesforce

• Experience building scripts in JavaScript or Python

• Experience working with APIs and relational databases

Other Requirements:

• Must be based in Pacific or Mountain Time Zones

• Experience with React, Next.js, or similar frameworks (Nice to Have)

• Experience integrating AI into support workflows (Nice to Have)

Responsibilities:

• Scope and implement new tools, processes, and procedures

• Build and maintain Zendesk automations and API workflows

• Develop internal diagnostic tools and AI-assisted triage systems

• Analyze customer data to provide better service

• Collaborate on policies and procedures for Customer Support

Benefits:

• Equity (RSUs) in the company

• Comprehensive medical, dental, and vision plans

• 12 weeks of paid parental leave

• Flexible vacation and sabbatical program

• Monthly stipends for work and wellness

Education Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, or technical field

• Bachelor's degree in Mathematics, Statistics, or equivalent

Experience Requirements:

• 4+ years work experience in analytics, SQL, Python, or R

• Minimum 2 years experience with a Ph.D.

• 4+ years solving analytical problems using quantitative approaches

Other Requirements:

• Expertise in applied statistics (predictive modeling, regressions)

• Familiarity with Snowflake, DBT, Tableau, and/or Fivetran

• Strong communication skills with technical and non-technical audiences

Responsibilities:

• Enable product teams to think strategically with actionable insights

• Define product and business success metrics (KPIs)

• Lead technical members in executing experiments

• Develop data foundation and machine learning capabilities

• Identify growth opportunities through quantitative analysis

Benefits:

• Equity (RSUs) in the company

• Comprehensive medical, dental, and vision plans

• 12 weeks of paid parental leave

• Flexible vacation and sabbatical program

• Annual WIN bonus program eligibility

Experience Requirements:

• 2+ years of experience leading an engineering team in SaaS

• 5+ years of experience as a full-stack or backend engineer

Other Requirements:

• Experience with Node, React, MongoDB, and relational databases

• Strong systems and architecture experience in distributed systems

• Proven track record partnering with Product and Design

• Bonus: User of no-code tools like Webflow, Zapier, or Bubble

Responsibilities:

• Lead a small engineering team while contributing code

• Navigate ambiguity and drive clarity for the team

• Attract, retain, and raise the bar for engineering talent

• Partner effectively with Product and Design stakeholders

• Stay curious and build fluency in emerging technologies like AI

Benefits:

• Equity (RSUs) in the company

• Comprehensive medical, dental, and vision plans

• 12 weeks of paid parental leave

• Flexible vacation and sabbatical program

• Monthly stipends for work and wellness

Education Requirements:

• BS / BA college degree or relevant experience

Experience Requirements:

• 5+ years of experience shipping features and products

• Development experience with AWS, Cloudflare, Node.js, and MongoDB

Other Requirements:

• Passionate about building developer platforms and tooling

• Comfortable collaborating across product, design, and engineering

• Experience with edge compute or middleware capabilities

Responsibilities:

• Work across infrastructure, backend, and CLI tooling

• Drive architectural decisions for scalability and security

• Build APIs and internal systems for developer workflows

• Implement observability across the build pipeline

• Architect performant compute infrastructure