Education Requirements:

• Bachelor's degree in computer science, Engineering, or related field

Experience Requirements:

• 2–4 years of full-stack experience

• 1–2 years with React and Meteor

• Hands-on with JavaScript/TypeScript, Node.js, and basic Python or Bash scripting

• Experience modeling data in MongoDB

• Basic familiarity with LLM concepts, RAG memory patterns, or vector lookups

Other Requirements:

• Comfortable using Git (branching, PRs) and working within a CI workflow

• Solid debugging skills in browser and IDE environments

Responsibilities:

• Contribute to the design and coding of features in React and Meteor

• Implement publications, methods, and routing in Meteor

• Design and maintain MongoDB schemas and indexes

• Integrate basic LLM calls and embedding pipelines

• Develop RESTful endpoints and simple plugins in Node.js/TypeScript and Python

Education Requirements:

• Bachelor's degree in computer science, Engineering, or related field

Experience Requirements:

• 5+ years full-stack web development experience

• 3+ years on React and Meteor

• Strong proficiency with MongoDB data modeling, indexing, and aggregation pipelines

• Solid coding skills in JavaScript/TypeScript, Node.js, Python, and Bash

• Hands-on experience with LLMs, RAG architectures, and vector or graph databases

Other Requirements:

• Expertise in browser and IDE debugging workflows

• Comfortable setting up and maintaining Git workflows and CI

• Proven track record of delivering production-grade features autonomously

Responsibilities:

• Lead end-to-end design and implementation of complex features

• Architect Meteor client/server architecture and best practices

• Model and optimize MongoDB and integrate vector/graph databases

• Integration with LLM APIs, embedding pipelines, and RAG memory layers

• Develop RESTful endpoints and plugins in Node.js, Python, GO, and Meteor

Education Requirements:

• Bachelor's degree in computer science, Engineering, or related field

Experience Requirements:

• 5+ years in DevOps or Cloud Engineering roles

• 3+ years hands-on with AWS core services (EC2, S3, RDS, VPC, IAM)

• 1+ year Terraform experience in production

• Strong Docker and Kubernetes (EKS/GKE/AKS) expertise

• Solid scripting skills (Python, Bash, Powershell, etc.)

Other Requirements:

• Deep understanding of cloud networking, security, and compliance

• Ability to work cross platform OS

Responsibilities:

• Design and maintain scalable, secure AWS architectures

• Develop and review Terraform modules and CI workflows

• Build and manage automated build, test, and deployment pipelines

• Manage Kubernetes clusters for production and development workloads

• Implement observability solutions (CloudWatch, Prometheus, Grafana, ELK)

Benefits:

• Stock options

• Benefits

Experience Requirements:

• Highly proficient in Figma for digital-first design and web layouts

• Strong working knowledge of Adobe Creative Cloud (Photoshop, Illustrator)

• Portfolio showcasing a clean, modern aesthetic with focus on digital-first design

Other Requirements:

• High-agency thinker

• Systems thinker passionate about developing scalable design systems

• Interest in Motion Design (After Effects or Lottie)

• Curiosity about using AI tools to speed up the creative process

Responsibilities:

• Partner with the Brand & Content Manager to lead the evolution of visual identity

• Proactively audit, refine, and scale brand guidelines

• Help architect and organize first central Brand Hub

• Design beautiful, high-converting landing pages in Figma

• Execute high-impact assets for social media and digital campaigns

Experience Requirements:

• 3 years of experience/knowledge in device modeling and TCAD simulation

• Understanding of semiconductor device physics

• Knowledge in Synopsys TCAD tools

Other Requirements:

• Willingness to learn new technologies and tools

Responsibilities:

• TCAD simulation

• Setting up Verilog-A & Spectre models, and simulation of these

• Simplification of mathematical device models for faster simulation

• Process engineering to fabricate devices in R&D and volume fabs

Education Requirements:

• BS/MS/PhD in EE, CS, or a related field

Experience Requirements:

• Understanding in computer architecture, digital design, and micro-architecture concepts

• Familiarity with AI/ML algorithms, frameworks, and workloads

• Programming experience in C/C++ and Python

Responsibilities:

• Design and specify core architecture modules

• Partner with the software team to evaluate module performance

• Monitor emerging trends and research in AI workloads

Experience Requirements:

• 5+ years experience

• Extensive knowledge in analog design in theory and hands-on

• At least two successful tape-out

• Experience in chip measurement

Responsibilities:

• Determining the specifications of the analog blocks

• Design & implement ultra-low power analog IC periphery blocks

• Contribute the layout floor-plan

• Post-layout characterization

• Developing the verification scheme for analog blocks

Education Requirements:

• Background in component-level circuit design & general electrical engineering

Experience Requirements:

• Experience with mechanical CAD design

• Experience with Python scripting or Matlab, LabView

Other Requirements:

• Interest in test automation for highly integrated analog circuits

• Base knowledge / interest to re-learn semiconductor device physics

Responsibilities:

• Design mechatronic assemblies for automated test & characterization

• Program automation routines for automated testing

• Design PCBs for test automation

• Design PCBs for prototype systems

Experience Requirements:

• In-depth knowledge of C++

• Hands-on experience in compiler technologies like LLVM

Responsibilities:

• Building/maintaining ML compiling toolchain

• Design & implement various compiler operations

• Collaborate with ML & quantization engineers/researchers

Education Requirements:

• Master’s degree, PhD, or strong engineering skills/understanding of ML tooling

Experience Requirements:

• Fluency in Python and PyTorch

• Understanding of training workflows

• Practical experience with model optimization

• Ability to architect and maintain scalable systems

Other Requirements:

• Collaborative mindset

Responsibilities:

• Design and implement a geo-distributed QAT system

• Build collaborative training and tooling infrastructure

• Translate new quantization methods into engineering components

• Collaborate with researchers

Benefits:

• Equity

Education Requirements:

• PhD or equivalent research experience in machine learning, mathematics, or related field

Experience Requirements:

• Strong understanding of quantization, model optimization, and numerical methods

• Proficiency in Python and PyTorch

Other Requirements:

• Research mindset: curiosity, rigor

Responsibilities:

• Research and develop novel analog-aware quantization methods

• Design mathematically principled matrix-vector multiplication algorithms

• Collaborate with analog hardware engineers to define algorithmic requirements

Benefits:

• ALL - Heartist® Program

• Heartist® for Good Program (1 day volunteering)

• Sustainable Mobility Package / Zenride

• €11 meal vouchers

• Health insurance plan funded at 50%

Experience Requirements:

• > 5 years

• Proven (senior) experience in enterprise-scale Data/BI environments

Other Requirements:

• Strong expertise in Snowflake

• Experience with Tableau, Dataiku, and Airflow

• Advanced SQL and data modeling skills

• Experience in technical leadership and project team management

• English-speaking multicultural environment

Responsibilities:

• Operationally lead the Feature Team named OPEN

• Design, deliver & maintain products within the OPEN portfolio

• Ensure technical consistency and full functional coverage across the stack

• Monitor, analyze, and resolve incidents on products and solutions

• Participate in the animation of the Data Tech community

Benefits:

• Local routes — home daily

• Weekly pay

• Competitive wages

• Solid benefits package

• Unlimited opportunities for growth

Experience Requirements:

• 3+ years experience driving 26–30 ft box trucks

• Valid CDL (Preferred)

• Clean MVR (Required)

• IT or computer background

Other Requirements:

• Can work nights 7:30pm - 6:30am (5 days)

• Available Saturday and Sunday

• Natural problem-solver

Responsibilities:

• Operate 26–30 ft box trucks manually and monitor autonomous systems

• Test, evaluate, and refine self-driving technology

• Monitor system performance via onboard screens

• Perform test runs and document behavior

• Follow DOT and company safety guidelines

Benefits:

• Share options

• Hybrid working model

Responsibilities:

• Talk with senior executives about how AI and ML can give them a competitive edge

• Solve complex problems within customer businesses

• Pioneer the playbook on how to make AI accessible to every business

Benefits:

• Share options

• Hybrid working model

Responsibilities:

• Solve complex problems within customer businesses

• Work with world class professionals in data science and AI

• Provide business users and power users with a world-class experience

Benefits:

• Share options

• Hybrid working model

Responsibilities:

• Provide business users and power users with a world-class experience

Benefits:

• Premium Health Benefits: Medical, Vision, Dental & Life

• Hybrid office attendance policy

• Unlimited PTO

• Employee Wellness Program

• Fun Corporate Events

Benefits:

• Premium Health Benefits: Medical, Vision, Dental & Life

• Hybrid office attendance policy

• Unlimited PTO

• Employee Wellness Program

• Fun Corporate Events

Benefits:

• Premium Health Benefits: Medical, Vision, Dental & Life

• Hybrid office attendance policy

• Unlimited PTO

• Employee Wellness Program

• Fun Corporate Events