AI Jobs

Experience Requirements:

• 7+ years of software engineering experience

• 2+ years in a tech lead or engineering lead role

• Strong technical foundation in distributed systems

• Proven leadership mentoring engineers

• Hands-on individual contribution experience

Other Requirements:

• Proficiency in TypeScript/Node.js or Python

• Experience with cloud infrastructure (AWS, Kubernetes)

• Strong communication skills

Responsibilities:

• Lead a team of 3-6 engineers

• Stay hands-on writing code daily

• Drive technical architecture and system design

• Mentor engineers through code reviews

• Collaborate cross-functionally with product and design

Experience Requirements:

• 10+ years of software engineering experience

• 4+ years in engineering management

• Experience building engineering teams from scratch

• Proven track record of shipping products to millions

• Hiring expertise for senior talent

Other Requirements:

• Strategic thinker

• Comfortable with ambiguity

• Strong communicator

Responsibilities:

• Own the engineering organization structure and hiring plan

• Set technical strategy and define architecture principles

• Recruit senior engineers and leads

• Drive delivery of high-quality software

• Scale systems from early-stage to production-grade

Experience Requirements:

• 5+ years of software engineering experience

• 2+ years working with LLMs or AI agent systems

• Experience building agent systems with tool use

• Strong prompt engineering skills

• Proficiency in TypeScript and/or Python

Other Requirements:

• Understanding of embedding models and vector search

• Product intuition

• Clear communication skills

Responsibilities:

• Design and evolve the agent runtime core loop

• Build agent capabilities like video and voice synthesis

• Optimize LLM integration and context management

• Implement long-term and episodic memory systems

• Design autonomous and goal-directed behaviors

Experience Requirements:

• 5+ years of backend engineering experience

• Proficiency in modern technologies like Node.js or Python

• Strong understanding of distributed systems

• Deep knowledge of database design and operations

• Experience with APIs and cloud infrastructure

Other Requirements:

• Strong debugging and observability skills

• Ownership mentality

• Team-first mindset

Responsibilities:

• Architect and build scalable backend services

• Own backend logic end-to-end

• Design and build real-time event-driven architectures

• Scale infrastructure for throughput and reliability

• Mentor engineers through architecture guidance

Experience Requirements:

• 5+ years experience operating databases at scale

• Deep PostgreSQL expertise

• Experience with caching systems like Redis

• Strong SQL and query optimization skills

• Data modeling skills balancing normalization and performance

Other Requirements:

• Familiarity with object storage (S3)

• Understanding of vector databases

• Knowledge of database reliability and failover

Responsibilities:

• Design and own the data architecture

• Build high-performance query layers

• Implement vector search and retrieval systems

• Scale storage systems and capacity planning

• Build ETL data pipelines for analytics

Experience Requirements:

• Broad engineering experience

• Portfolio of production-ready backend projects

• Proficiency in Node.js, Python, or Go

• Strong understanding of database design

• Experience with APIs and cloud infrastructure

Other Requirements:

• Ability to thrive in a fast-moving environment

• Clear communication skills

Responsibilities:

• Architect and build scalable backend services

• Own backend logic from database modeling to API design

• Support internal tooling and operational automation

• Collaborate with frontend, product, and design

• Debug and optimize systems for scale

Experience Requirements:

• Strong TypeScript and React skills

• Experience scaling React codebases

• Experience implementing smooth animations

• Familiarity with Next.js and Tailwind

• A strong sense of design craft

Other Requirements:

• Strong design sensibility

• Based in or around Palo Alto, CA

Responsibilities:

• Build and own core UI surfaces

• Write clean, maintainable component code

• Collaborate with design to translate concepts into interfaces

• Optimize performance for loads and interactions

• Identify product improvements

Benefits:

• Equity

• Comprehensive health benefits

• Collaborative office culture

Experience Requirements:

• 5+ years experience building consumer-facing iOS apps

• Strong proficiency in Swift

• Familiarity with SwiftUI

• Experience working on UI/UX with modern frameworks

• Proven ability to contribute high-performance code

Other Requirements:

• Excellent problem-solving skills

• Knowledge of graphics and media frameworks

• Collaborative mindset

Responsibilities:

• Build groundbreaking tools for creators

• Empower users to tell stories

• Scale mobile efforts

• Contribute with high levels of design-consistency

• Collaborate on building and launching together

Responsibilities:

• Manage external supply chain engineering

• Coordinate manufacturing processes

Responsibilities:

• Perform mechanical design tasks

• Technical problem solving

Responsibilities:

• Develop quantitative trading models

• Implement complex algorithms

Responsibilities:

• Lead large scale software architecture

• Mentor engineering teams

Experience Requirements:

• Entry level

Responsibilities:

• Software development

• Contribute to product codebase

Experience Requirements:

• Senior level experience

Responsibilities:

• Build scalable backend services

• API design and implementation

Experience Requirements:

• Early career experience

Responsibilities:

• Develop web applications

• Support both frontend and backend systems

Benefits:

• 30 days of annual leave

• Virtual Shares

• Hybrid work

• flexible hours

• Regular in-person team events

Experience Requirements:

• Experienced writing production code in JS/TS or Python

• Proven track record in customer-facing roles

• Experience writing infra and deployment code (AWS/k8s)

Other Requirements:

• Hands on keyboard mentality

• Willingness to learn and wear many hats

• Natural credibility as technical expert

• Open to travel

• Preferably based in Munich

Responsibilities:

• Build full-stack AI systems and integrations

• Partner with customers teams to understand needs

• Gather requirements and translate into workflows

• Contribute code directly

• Share field feedback with Research and Product

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

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