Education Requirements:

• Bachelor’s degree in Manufacturing, Mechanical, Electrical, Industrial Engineering, or related field

Experience Requirements:

• 3+ years of experience in manufacturing engineering for complex electromechanical systems

Other Requirements:

• Ability to lift up to 40-50 lbs

• Occasional travel may be required to support suppliers or customer sites

Responsibilities:

• Develop and maintain manufacturing processes and work instructions

• Support new product introduction (NPI) and production ramp

• Collaborate with design engineers to influence DFM/DFA decisions

• Define build sequences, takt times, line layouts, and labor models

• Identify and implement process improvements to improve quality and throughput

Benefits:

• Competitive salary

• Employee stock options

• 401K matching

• Competitive benefits

Responsibilities:

• Build the next generation of artificial intelligence tools from scratch

Benefits:

• 30 days of paid vacation

• Access to a variety of fitness & wellness offerings via Wellhub

• Mental health support through nilo.health

• Substantially subsidized company pension plan

• Subsidized Germany-wide transportation ticket

Experience Requirements:

• Proficient in Python and the PyTorch library

• Strong engineering background in parallel and/or distributed systems

• Hands-on experience with modern machine learning techniques (especially LLMs)

• Deep understanding of the CUDA programming model

• Experience in distributed programming with APIs like NCCL or MPI

Other Requirements:

• Regular on-site collaboration in Heidelberg is required

• Experience analyzing profiling traces with tools such as PyTorch Profiler and Nvidia Nsight

• Contributions to modern distributed training frameworks like TorchTitan or Megatron-LM (preferred)

• Proven track record working on the NVIDIA Blackwell architecture (preferred)

Responsibilities:

• End-to-End Optimization: Profile training loops to identify system- and kernel-level bottlenecks

• Distributed Strategy and Topology: Configure and tune composite parallelism strategies (TP, DP, FSDP, etc.)

• Hardware-Aware Modeling: Partner with Researchers to define architectures for hardware efficiency

Benefits:

• 30 days of paid vacation

• Access to a variety of fitness & wellness offerings via Wellhub

• Mental health support through nilo.health

• Substantially subsidized company pension plan

• Subsidized Germany-wide transportation ticket

Education Requirements:

• PhD in machine learning, NLP, statistics, or a related field (valued but not required)

Experience Requirements:

• Experience with LLM evaluation, benchmark design, evaluation dataset curation, and experimental design

• Familiarity with statistical methods for evaluation and experiment design

• Track record of shipping impactful technical work (research or infrastructure)

• Strong Python skills and comfort with ML tooling (PyTorch, evaluation frameworks, distributed systems)

• Ability to reason about what an evaluation measures and whether it matters

Other Requirements:

• Ownership mentality

• Willingness to relocate to Heidelberg or travel regularly (potentially weekly)

• Understanding of foundation model training (preferred)

• German language proficiency (preferred)

Responsibilities:

• Own benchmarks end-to-end: Select, implement, and maintain the evaluation suite used during pre-training

• Build evaluation infrastructure: Develop and optimise the pipelines that run evaluations against training checkpoints

• Design aggregation and reporting: Define how benchmark results translate into training decisions

• Close capability gaps: Identify where models fall short and create benchmarks that measure progress

• Own German evaluation: Ensure rigorous assessment of German language capabilities

Benefits:

• 30 days of paid vacation

• Access to a variety of fitness & wellness offerings via Wellhub

• Mental health support through nilo.health

• Substantially subsidized company pension plan

• Subsidized Germany-wide transportation ticket

Education Requirements:

• PhD in reinforcement learning or equivalent research experience (preferred)

Experience Requirements:

• A deep understanding of Reinforcement Learning theory and how it relates to modern RL methods

• Experience with multi-node LLM training (ideally using RL)

• Familiarity with statistical methods for evaluation and experiment design

• Strong Python skills and comfort with ML tooling (especially torch distributed)

• Ability to reason about what an evaluation/environment measures and whether it matters

Other Requirements:

• Willingness to relocate to Heidelberg or travel regularly (potentially weekly)

• History of contributions to top-tier venues like NeurIPS, ICML, ICLR (preferred)

• Experience crafting environments for training (preferred)

Responsibilities:

• Hill-climb in large-scale training: Conduct training runs, analyze scores, and implement improvements

• Theoretical innovation: Stay at the bleeding edge of RL research and iterate on novel approaches

• Scale our training infrastructure: Identify bottlenecks and optimize RL training loops

• Cross-functional collaboration: Partner with post-training teams to turn feedback into actionable signals

Benefits:

• 30 days of paid vacation

• Access to a variety of fitness & wellness offerings via Wellhub

• Mental health support through nilo.health

• JobRad® Bike Lease

• Substantially subsidized company pension plan

Experience Requirements:

• Extensive experience in strategy, management consulting, or serving as a Chief of Staff / Operations leader

• Strong understanding of both AI research and product development environments

• Proven track record of driving complex, cross-functional projects and influencing at multiple levels

• Experience in high-growth environments, startups, or deep-tech companies is highly desirable

• Excellent organizational, analytical, and communication skills

Other Requirements:

• Fluency in English required; fluency in German is a strong plus

• Comfort navigating ambiguity and balancing strategic vision with hands-on execution

Responsibilities:

• Strategic and Operative Support to the CRO: Work on daily priorities, communication, and strategic initiatives

• Shape Organizational Performance and Scalability: Design structures and processes to enable growth

• Drive Cross-Functional Collaboration: Ensure smooth coordination between research, engineering, and product

• Enable Leadership Effectiveness: Anticipate roadblocks and structure problem-solving

• Support Data-Driven Decision-Making: Synthesize technical and operational data into clear narratives

Benefits:

• Career accelerator

• Personal growth

Experience Requirements:

• 2+ years of fullstack engineering experience in React, Node.js, or similar

Other Requirements:

• Strong Computer Science foundations (memory, parallelization, runtime)

• Demonstrated AI fluency (Cursor, Devin, Claude Code)

• Publicly viewable side projects on GitHub

• Good English communication skills

• Comfortable working across frontend, backend, and LLMs/AI

Responsibilities:

• Ship new features in a fast and stable manner

• Improve existing product to be stable and high quality

• Fix inefficient code, especially around data fetching and API performance

• Architect and implement AI/LLM-based features for our platform

• Champion AI-assisted workflows across design, PRDs, and engineering

Benefits:

• Work on cutting-edge infrastructure blending fiat and stablecoins

• Competitive compensation package

• A fast-moving, mission-driven team solving real-world challenges

• Remote flexibility

• Long-term growth potential within Nomba

Experience Requirements:

• Based in Canada, ideally in Quebec, Montreal or Congolese diaspora hubs

Other Requirements:

• Strong communication and interpersonal skills

• Self-starter with a bias for action

• Fluency in both English and French is required

• Lingala is a plus

Responsibilities:

• Identify and engage potential partners in Canada serving Congolese diaspora

• Lead local brand activation and awareness campaigns

• Conduct customer onboarding and feedback collection

• Build and execute customer acquisition strategy for MSBs and NGOs

• Refine product messaging and value propositions

Benefits:

• Diverse and collaborative environment

• Opportunities to grow

• Work on cutting-edge technology

• Flexible working hours

• Attractive compensation with equity plan

Experience Requirements:

• Senior level experience

• Strategic mindset

• Excellent leadership skills

• Excellent communication skills

• Interpersonal skills

Other Requirements:

• Highly motivated individuals

Responsibilities:

• Take initiative to set priorities and exceed goals

• Gain deep knowledge on functions of an AI enterprise software company

Benefits:

• Diverse and collaborative environment

• Opportunities to grow

• Work on cutting-edge technology

• Flexible working hours

• Attractive compensation with equity plan

Experience Requirements:

• Senior level experience

Other Requirements:

• Work with cross-functional teams of software engineers

Responsibilities:

• Build a scalable end-to-end system

• Develop dashboard for anomaly detection tool

Benefits:

• Diverse and collaborative environment

• Opportunities to grow

• Work on cutting-edge technology

• Flexible working hours

• Attractive compensation with equity plan

Experience Requirements:

• Senior level experience

• Knowledgeable in building scalable infrastructure

Other Requirements:

• Passionate about building fault-tolerant and highly available infrastructure

Responsibilities:

• Develop scalable end-to-end system for Streem.ai

• Build, maintain, monitor and enhance backbone infrastructure

• Work in a multi cloud environment

• Collaborate with software engineers and data scientists

Benefits:

• Diverse and collaborative environment

• Opportunities to grow

• Work on cutting-edge technology

• Flexible working hours

• Attractive compensation with equity plan

Experience Requirements:

• Intern or Working Student level

Other Requirements:

• Support Software Engineers, Data Scientists, Product Managers and Designers

Responsibilities:

• Release Testing

• Exploratory Testing

• Regression Testing

• Writing Bug reports

• Test Automation activities

Benefits:

• Flexible working hours

• Mobile working and Remote Work Abroad

• 30 days annual leave

• EGYM Wellpass

• Company pension scheme

Education Requirements:

• Degree in electrical, control, or automation engineering

Experience Requirements:

• Experience in the development of automation software

Other Requirements:

• Programming in structured text (IEC 61131-3)

• PLC knowledge (preferably B&R)

• Experience with JIRA, Subversion, and Automation Studio

• Good German and English skills

• Worldwide travel readiness (10%)

Responsibilities:

• Develop new machine types and provide team support

• Further development of the modular standard framework

• Coordinate implementation of requirements during development

• Analyze and fix errors in existing machine programs

• Document programs according to GAMP guidelines

Benefits:

• Competitive compensation

• Periodic performance bonuses

• Thriving professionally through employee enablement

• Comprehensive health plans

• Generous paid leaves

Experience Requirements:

• 3-6 years of experience in SaaS product marketing

• Experience partnering cross-functionally in high-growth software companies

• Understanding of QA, AI, or test automation technologies

• Demonstrated experience in messaging, positioning, and launch execution

Other Requirements:

• Proven ability to craft sharp, value-driven messaging

• Excellent verbal and written communication skills

• Strong analytical and strategic thinking

• Natural storyteller with a passion for simplifying complex ideas

Responsibilities:

• Develop differentiated messaging for target audiences

• Partner with Product Management to define and communicate the platform's value proposition

• Create and maintain sales enablement assets including pitch decks and battle cards

• Develop content for every stage of the buyer journey

• Conduct market and competitive analysis

Experience Requirements:

• 10+ years’ experience

• Experience in data center infrastructure management

• Familiarity with programming (SQL, Python)

• Experience with Linux commands and shell scripting

Other Requirements:

• Customer-first mindset

• Ability to think strategically about resource allocation

• Strong communication and negotiation skills

Responsibilities:

• Analyzing and troubleshooting ML algorithms

• Collaborating across organizational boundaries

• Making decisions about trade-offs and resource allocation

Education Requirements:

• Bachelor’s degree or equivalent in business analysis/process analysis or related discipline

Experience Requirements:

• 5+ Years of experience

• Hands-on experience with Microservices using Java

• Core Java expertise (Ver 1.8 and above)

• Hands-on with Hibernate, Spring MVC, Spring Boot

• Experience in NoSQL databases like Mongo DB, Cassandra, Postgres

Other Requirements:

• Work Mode: Hybrid (3 days)

• Hands-on experience with HTML/CSS, Javascript, Node.JS, Typescript

• Hands-on experience in vibe coding tools like Copilot, Cursor

• Experience with DevOps tools like Bamboo, Jenkins, Maven

Responsibilities:

• Defining microservices from existing code base

• Build, Unit testing, and deployment activities

• Closely interact with QA and UI teams to debug issues

• Provide timely feedback to Scrum leads and product management

Experience Requirements:

• 5-7 years of overall experience

• 4-5 years of relevant experience

• Hands-on experience with Java 8+, Spring Boot, and RESTful web services

• Hands-on experience building frontend applications using React

Other Requirements:

• Strong problem-solving skills with knowledge of data structures and algorithms

• Experience with CI/CD tools (Docker, Jenkins)

• Good understanding of widely used design patterns

Responsibilities:

• Troubleshoot and resolve complex customer and production issues

• Design, develop, and maintain backend services and frontend applications

• Develop architecture relationships between subsystems

• Ensure code meets performance goals and quality metrics

• Work in an Agile environment following Scrum methodologies

Experience Requirements:

• 5+ Years of experience

• Strong technical expertise in building Restful microservices using Node.js

• Technical expertise in building API and UI

Other Requirements:

• Strong architectural skills for scalable cloud applications

• Good knowledge of API security and data encryption

• Strong DevOps and Quality mindset

• Curious & growth mindset

Responsibilities:

• Design and Develop O2P’s platform (web application and APIs)

• Contribute to DevOps functions in AWS cloud (Lambda, ECS, API Gateway, RDS)

• Evaluate and adopt technology solutions to build the O2P platform

• Use Unit Testing to build resilient solutions

• Partner with business stakeholders to translate use cases into requirements

Education Requirements:

• Bachelor's degree in a related area

Experience Requirements:

• 7-10 years of overall experience in software programming

• 5-6 years of relevant experience in React.Js, Node.Js, SQL

Other Requirements:

• Proficient in English

• Proactive and independent work style

• Shift: Afternoon Shift (12 PM - 9 PM IST)

Responsibilities:

• Designs, modifies, develops, and implements software programming applications

• Supports and/or installs software applications/operating systems

• Participates in the testing process through test review and analysis

• Performs a variety of tasks under general supervision

Experience Requirements:

• 7–10+ years of experience in program management or technical project delivery

• Strong experience with one or more enterprise MDM platforms

Other Requirements:

• Understanding of Master data models & hierarchies

• Understanding of Data quality processes & governance

• Understanding of Data integration methods (ETL/ELT, APIs)

• Knowledge of Data privacy and regulatory requirements (GDPR, CCPA)

• Excellent communication and stakeholder management skills