AI Jobs

Benefits:

• Equity

• Benefits

Education Requirements:

• MS or PhD in Computer Science, Robotics, or related engineering field

Experience Requirements:

• 8+ years experience in the related field

• Production experience in autonomous driving systems

• Worked on AI foundation models or large-scale ML systems

• Helped drive End-to-end driving models

• Experience working on Robotics or embodied AI systems

Other Requirements:

• Knowledge of CUDA is a plus

• Deep knowledge of E2E AV software integration

• Vision, innovation, and talent

Responsibilities:

• Compose and build architecture for next-generation self-driving vehicles

• Work on Prediction, Decision, Planning and Control architecture

• Build robust system-level safety and fallback strategies

• Develop a World Model–based planning and reasoning model

• Contribute to the integration of innovative research in robotics

Benefits:

• Equity

• Benefits

Education Requirements:

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

Experience Requirements:

• 7+ years of experience in Solution Engineering or similar roles

• System-level understanding of server architecture

• Practical knowledge of networking

• Familiarity with DevOps/MLOps technologies

• Experience with bring-up and deployment of large clusters

Other Requirements:

• Effective time management

• Excellent communication skills

• External customer-facing skills

• Proficiency in systems engineering, coding, and debugging

• Hands-on experience with NVIDIA systems/SDKs

Responsibilities:

• Working with AI Native customers on data center GPU infrastructure

• Guiding customer discussions on network topologies

• Identifying new project opportunities for NVIDIA products

• Conducting regular technical meetings with customers

• Building custom demonstrations and proofs of concept

Experience Requirements:

• Strong proficiency in Java and object-oriented programming

• Experience with Spring Framework (Spring Boot, Spring MVC)

• Familiarity with RESTful APIs and microservices architecture

• Knowledge of version control systems like Git

• Understanding of Agile development methodologies

Other Requirements:

• Good problem-solving and communication skills

Responsibilities:

• Develop and maintain Java applications using Spring Boot and related technologies

• Write clean, efficient, and well-documented code

• Collaborate with cross-functional teams to define, design, and ship new features

• Troubleshoot and resolve issues in existing applications

• Participate in code reviews and contribute to best practices

Experience Requirements:

• Strong software engineering experience with deep specialization in JavaScript, TypeScript, and React

• Proven ability to architect complex state management (TanStack Query, Zustand)

• Experience in data visualization and analytics (handling large datasets)

• Familiarity with Ruby on Rails and NoSQL/Columnar databases (MongoDB, Clickhouse)

Other Requirements:

• Fluency in Russian is required

• Strong professional proficiency in English is required

• Product Owner mindset

• Competence in unit and integration tests (Jest, Cypress, or Playwright)

Responsibilities:

• Deliver complex, scalable frontend systems

• Partner with Product Managers to co-author requirements

• Lead technical decision-making for medium-to-large scoped features

• Proactively identify bottlenecks and technical debt

• Advocate for best practices in React and TypeScript

Benefits:

• Mentorship from senior engineers

• Real ownership of features

• Exposure to large-scale production systems

• Collaborative culture

• Opportunities to grow and learn new things

Education Requirements:

• Technical Foundation: A strong grasp of algorithms, RESTful systems, and API design

Experience Requirements:

• Early-career engineer

• Preferred: Knowledge of Ruby on Rails and the broader Ruby ecosystem

• Alternative: Proficiency in Python or similar with willingness to cross-train

• Nice-to-have: Experience with Clickhouse, MongoDB, or Sidekiq

Other Requirements:

• A portfolio of meaningful Github contributions or personal projects

• Proactive approach to digging into sources

• Interest in backend systems and working with data

• Strong communication and collaboration skills

Responsibilities:

• Contribute to features across the full development lifecycle

• Help build APIs and backend services

• Learn how to work with large datasets and high-performance databases

• Improve code quality through testing, refactoring, and reviews

• Pair-program and collaborate with teammates

Experience Requirements:

• 3+ years of experience as a software engineer

• Required: Ruby on Rails (or Python and willing to learn Ruby on Rails)

• Nice to have: Clickhouse, MongoDB, Sidekiq, TypeScript, React.js

Other Requirements:

• Strong foundation in programming, algorithms, and software application design

• Solid understanding of RESTful systems and API design

• Understanding of the basics of cloud environments (AWS)

Responsibilities:

• Participate in the full development life cycle (design, implementation, release)

• Work on full feature implementation from architecture to delivery

• Optimise endpoints that touch billions of rows in the database

• Perform code reviews and suggest process improvements

• Work on challenging products like SDK Insights

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:

• 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:

• 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 compensation

• Professional development opportunities

• Flexible work arrangements

Education Requirements:

• Bachelor’s Degree

Experience Requirements:

• 8+ years of experience in software automation (UI and/or Integration)

• Experience as a Software developer Engineer in Test (SDET)

• Experience with Selenium framework and infrastructure

• Experience with JavaScript, Hack, PHP, Cypress

Other Requirements:

• Independent self-learner

• Knowledge of Data analytics is a plus

Responsibilities:

• Architect and implement long term automation solutions

• Build test tools and frameworks

• Define long-term quality driven roadmaps

• Identify improvements in existing processes

• Mentor multiple XFN engineers

Education Requirements:

• High school diploma required

• Bachelor’s degree in Life Sciences, Library Science, or related fields preferred

Experience Requirements:

• Previous experience in data entry, metadata review, or structured data validation

Other Requirements:

• Pass a Tier 1 Federal Background Check

• Mandatory in-person fingerprinting

• Mandatory travel to Bethesda, Maryland for badge collection

• Provide own computer and PIV card reader

• Professional-level English reading comprehension

Responsibilities:

• Metadata Validation for biomedical journal articles

• Identify and record research funding acknowledgments (grants)

• Identify and link related citations like errata and retractions

• Apply correct status indicators to citations (Classification)

• Manage workflow to meet target of 35 citations per hour

Benefits:

• Highly competitive salary

• Flexible working hours

• Choice of remote, office, or hybrid work

• Team events, workations, and annual offsites

• Agile working environment with low bureaucracy

Experience Requirements:

• 3–5 years of hands-on experience with Python and TypeScript

• Deep familiarity with the Windows ecosystem

• Skilled in setting up CI/CD pipelines

• Proficient in building and managing Docker images

• Experience with cloud providers such as AWS, Google Cloud, or Azure

Other Requirements:

• Exposure to Mac and Linux environments

• Comfort with virtualization platforms (VMware ESXi, Proxmox, or Windows Hyper-V)

• Experience in automation frameworks and testing tools (Playwright, BDD, Browserstack)

Responsibilities:

• Design Intelligent Automations using vision-based and AI-powered controls

• Integrate AI Workflows using LLMs, RAG pipelines, and orchestration logic

• Develop tailored plugins, automation scripts, and microservices

• Deliver documentation, live enablement sessions, and hands-on workshops

• Capture technical challenges and turn them into actionable insights for Product and Engineering

Benefits:

• Mental health, wellness & fitness benefits

• Career coaching & support

• Inclusive family building benefits

• Long-term savings or retirement plans

• In-office culinary options

Experience Requirements:

• Practical experience in executing and maintaining a repeatable sales process such as Sandler or Challenger

• Demonstrated expertise in prospecting with a track record of building your own pipeline

• Skilled at acquiring new customers and expanding existing customer base

• End-to-end sales-cycle management skills

• Proven experience collaborating with internal marketing, business, and product teams

Other Requirements:

• Fluency in written and spoken English and Polish

• Proactive in setting clear business goals and priorities

• Demonstrated curiosity about AI tools and emerging technologies

Responsibilities:

• Proactively manage and expand a portfolio of customers

• Hunt, manage and close new & existing business opportunities

• Develop & leverage customer champions to expand usage

• Engage with executive and IT contacts to deploy Asana wall-to-wall

• Champion productivity and collaboration enhancement within EMEA

Benefits:

• Health and wellness programs

• Remote-friendly environment

• On-sites, off-sites, and events

• Learning and development reimbursement

• Home office stipend

Education Requirements:

• Bachelor’s degree or equivalent practical experience

• Master's degree or PhD in Computer Science

Experience Requirements:

• 2 years of experience with software development

• 2 years of experience with data structures or algorithms

Other Requirements:

• Experience developing accessible technologies

• English proficiency

Responsibilities:

• Write product or system development code

• Participate in, or lead design reviews with peers and stakeholders

• Review code developed by other developers and provide feedback

• Contribute to existing documentation or educational content

• Triage product or system issues and debug/track/resolve

Benefits:

• Competitive salary and benefits

• Flexible working hours

• Ability to grow with the organization

• Interesting projects from various industries

Education Requirements:

• BSc or MSc degree

Experience Requirements:

• 3+ years of industrial experience in Software Development or ML/AI-related environment

• Expert knowledge of both theoretical and practical aspects of project management

• Experience coaching and mentoring

• Proven experience in people management

• Proven experience in issue & risk management

Other Requirements:

• Excellent customer interfacing skills

• Proven experience in effective meeting facilitation

• Strong knowledge of technical concepts and IT Infrastructure

• Expert knowledge of project management techniques and tools

• Strong communication, presentation skills, and business fluency in English and German

Responsibilities:

• Structure, manage and lead client and internal projects through lifecycle

• Assemble and coordinate project resources (internal, external, 3rd parties)

• Manage project budget, resource allocation, and timelines

• Create and continuously update the project documentation

• Develop professional business relationships and effective communication

Benefits:

• Flexible working hours

• Start-up environment

• Mentoring by experienced colleagues

Education Requirements:

• Recent graduates or current students in a Masters or Ph.D. degree in math, statistics, computer science, or related field

Experience Requirements:

• Experience using Python and its common data analysis packages (numpy, pandas, matplotlib, scikit-learn)

• Good understanding of core machine learning concepts

• Experience with data processing (transforming, filtering, and presenting large quantities of data)

• Advanced English proficiency

Other Requirements:

• Experience with deep learning models and frameworks (PyTorch, TensorFlow)

• Practical experience with machine learning tasks (NLP, CV, time series)

• Experience with databases (SQL and NoSQL) and clustered data processing

• Basic understanding of main software development principles (OOP, VCS, CI/CD)

• Domain-specific knowledge relevant for modeling

Responsibilities:

• Data processing, cleaning, and annotation

• Model development, testing, and fine-tuning

• Machine learning pipeline development, validation, and deployment

• Development of packages and modules for internal use

• Preparation of presentations, analytical materials, and project summaries

Benefits:

• Competitive salary and benefits

• Flexible working hours

• Ability to grow with the organization

• Interesting projects that eventually go to production

Education Requirements:

• MSc/Ph.D. in Mathematics, Optimization, (Electrical) Engineering, Statistics, Computer Science, Machine Learning, Physics

Experience Requirements:

• 3+ years of industrial experience in ML/AI-related environment

• Strong expertise in Python and main data science libraries

• Excellent scientific/technical writing skills

• Strong communication and presentation skills

• Business fluent English and German

Other Requirements:

• Working with a high degree of self-responsibility and a goal-oriented approach

• Deep expertise in NLP, Computer Vision, Industry 4.0, IoT, Remote Sensing

• Proven ML skills (academic papers, Kaggle, GitHub)

• Experience with neural networks with PyTorch/TensorFlow

Responsibilities:

• Structure, manage and lead client activities and internal research projects

• Manage the internal data science project

• Evaluate advances in SOTA and assess applicability for customer use cases

• Support presales team with developing potential use cases and project ideas

• Take an active role in guiding and mentoring junior colleagues

Benefits:

• Learn solution architecture for enterprise AI automation

• Experience with agentic workflows and AI protocols

• Exposure to enterprise-grade SecOps and IT automation

• Advanced prompt engineering training

• Work in a fast-growing startup environment

Education Requirements:

• Ongoing master’s degree or final-year engineering course

Experience Requirements:

• Cybersecurity background (degree or certifications)

• Hands-on experience with no-code/low-code platforms (n8n, Make, Zapier)

• Experience with APIs, JSON, and basic scripting

Other Requirements:

• Strong problem-solving mindset

• Professional proficiency in English

• Curiosity and resourcefulness

• Side projects showing a builder mindset (preferred)

Responsibilities:

• Support the Sales team during prospect meetings and demos

• Design and build AI agents and automation workflows for customers

• Create enablement content like demo flows and documentation

• Capture customer feedback to inform product development

• Help shape product roadmap with real customer context

Benefits:

• Goal of permanent hire after apprenticeship

• Best-in-class tool stack

• Training on Generative AI and automation

• Scale-up vibe with a supportive team

Experience Requirements:

• Bilingual or fluent in English and French

• Tech-fluent (daily use of AI tools like ChatGPT)

Other Requirements:

• Excellent written and verbal communication

• Resilience to rejection

• Sales DNA and drive to convince

• Interest in Tech, No-code, and AI

Responsibilities:

• Identify and map key accounts within major global corporations

• Conduct cold calling, personalized emailing, and LinkedIn hunting

• Qualify prospects to determine if the solution fits their needs

• Participate in trade shows and perform flash demos

• Optimize campaigns and processes with the Growth team