Education Requirements:

• Bachelors/Masters in Computer Science, or equivalent practical experience

Experience Requirements:

• Experience applying machine learning for computer vision/image processing or time-series forecasting; will also consider DL experience with geospatial data, graph data

• 5-8 years of experience with developing ML models, or a PhD degree in a relevant field with 2+ years of industry experience

• 3 years of experience with Python, Golang, or other equivalent languages

Responsibilities:

• Explore, apply, and innovate state-of-the-art machine learning techniques to solve real-world problems on the electric grid

• Explore and de-risk novel technologies to extract data from unlikely sources

• Lead the design and implementation of ML data platforms and service frameworks

• Design and implement robust, automated, production-level software using horizontally scalable components

• Work effectively with cross-functional teams of engineers, product managers, and domain experts

Education Requirements:

• Ph.D. or Masters Degree in Computer Science, Machine Learning, or a related field or equivalent applied research experience.

Experience Requirements:

• At least 3 years of industry experience in a software engineering role

• Deep understanding of ML pipelines, algorithms, and best practices for model development, deployment, and monitoring

• Strong background in deep learning concepts, architectures (e.g., Transformers, LLMs, GANs, etc.), and training techniques (e.g., Fine-tuning, self-supervised learning, transfer learning, etc.).

• Expertise and hands on experience with generative AI approaches: SFT, RAG, DPO, RLHF, etc.

• Experience in AI infrastructure: building scalable data pipelines, inference servers, monitoring services, and more

Responsibilities:

• Develop cutting edge generative AI approaches for challenging 3D data types

• Create data pipelines, clean data, and generate synthetic datasets

• Train and validate models, using modern approaches including supervised fine tuning, retrieval augmented generation, parameter efficient fine-tuning, and more

• Deploy, monitor and iterate!

• Actively collaborate with cross-functional teams, domain experts, and end users to refine product needs and ensure impactful technology solutions.

Education Requirements:

• Ph.D. or Masters Degree in Computer Science, Machine Learning, or a related field.

Experience Requirements:

• At least 3 years of industry experience in a software engineering role

• Experience in AI infrastructure: building scalable data pipelines, inference servers, monitoring services, and more

• Deep understanding of ML pipelines, algorithms, and best practices for model development, deployment, and monitoring

• Strong background in deep learning concepts, architectures (e.g., Transformers, LLMs, GANs, etc.), and training techniques (e.g., Fine-tuning, self-supervised learning, transfer learning, etc.)

• Understanding of cloud platforms like GCP and infrastructure-as-code tools like Terraform and MLOps platforms like Kubeflow.

Responsibilities:

• Build and scale robust AI/ML cloud infrastructure for training, validation, and inference

• Create a smooth, efficient MLOps flow for staging, deploying and monitoring AI pipelines

• Create data pipelines, clean data, and generate synthetic datasets

• Train and validate models, using modern approaches including supervised fine tuning, retrieval augmented generation, parameter efficient fine-tuning, and more

• Actively collaborate with cross-functional teams, domain experts, and end users to refine product needs and ensure impactful technology solutions.

Benefits:

• Competitive salary

• equity

• benefits

Responsibilities:

• Develop key features for the Diagon Marketplace, focusing on both front-end and back-end development.

• Collaborate with cross-functional teams, including product, design, and operations, to deliver user-centric solutions.

• Optimize and integrate AI-powered tools to improve product listings and marketplace efficiency.

• Take ownership of technical decisions, balancing performance, usability, and long-term maintainability.

• Work across the stack, from interactive UI components (React/Next.js) to server-side logic (Server Actions, PostgreSQL, Prisma).

Experience Requirements:

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

Other Requirements:

• Understanding of semiconductor device physics

• Knowledge in Synopsys TCAD tools

• Willingness to learn new technologies and tools, and apply them quickly

• Knowledge in Verilog-A and Spectre simulations

• Semiconductor process/fabrication knowledge

• Process simulation in TCAD 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 these devices in R&D and volume fabs

Experience Requirements:

• 경력 0~3년

Responsibilities:

• 기술 문제 발생 시 신속한 분석 및 해결

• 의료기관 및 파트너와의 기술 요구사항 조율 및 협업

• 사용자 피드백 수집 및 분석을 통한 제품 개선

• DICOM 프로토콜을 활용한 PACS 연동 등 설치 프로세스 설계 및 최적화

• 기술 문서 작성 및 관리 (예: 설치 매뉴얼, H/W & S/W 스펙, DICOM conformance statement 등)

Experience Requirements:

• 3년 이상의 SW 개발 경력을 갖추신 분

• 컴퓨터 공학 전공자 혹은 이에 준하는 이론 지식을 갖추신 분

Responsibilities:

• AI Solution 을 활용한 Inference 서비스 개발

• PACS 연동 및 Gateway 개발

• Worklist GUI 개발

Benefits:

• Competitive pay with benefits: employment contract or B2B co-operation

• Fully remote working environment

• A continuous improvement environment, with 10% of your time dedicated to self-development and professional growth activities

• Exceptional conditions for growth: regular brown-bag meetings, workshops, hackathons, trainings and conferences (with a dedicated budget)

• Unique company culture based on mutual trust, honest feedback and autonomy

Responsibilities:

• primarily work on designing and building integrations with EHR systems for the US market

• collaborate with teammates on integration setups

• work closely with external providers and customers to integrate their systems smoothly

Education Requirements:

• Bachelor's or Master's degree in a relevant field (e.g., Environmental Science, Computer Science, Data Science, Engineering, or related field).

Experience Requirements:

• Proven experience in a solutions architect, technical sales, and/or technical account management roles in enterprise software companies (AI, geospatial, data infrastructure preferred).

Responsibilities:

• Contribute to the development of complex subsystems, own the development of moderately complex subsystems, or own the development of simple systems under the direction of a technical lead

• Design schematics, evaluate components, direct board layout, conduct design reviews and draft design documentations

• Manage bring up and debug, support manufacturing and assembly build

• Collaborate in a team environment and work across engineering disciplines to develop systems and manage trade offs across electronics, mechanics, sensors, haptics, firmware and software

• Evaluate vendor reference design and transform these into custom solutions which meet product and form factor constraints

Benefits:

• Cafeteria system

• Clear terms

• Flexible hours

• Free drinks and snacks

• Private health care Remote work

Education Requirements:

• Master's degree in Computer Science, Mathematics, Physics, or a related field, or equivalent experience

Experience Requirements:

• At least 2 years of experience in deploying ML models in production environments and implementing machine learning solutions, with a focus on practical applications

Other Requirements:

• AWS Certification

• Knowledge of cloud-based data engineering solutions, such as AWS Glue, Azure Data Factory, or Google Cloud Dataflow

• Domain expertise in one or more industries, such as edtech, pharma, fintech, retail, and experience in applying ML solutions in those domains

• Experience in at least one deep learning framework: Pytorch, TensorFlow / Keras

• Demonstrated experience in working with large-scale tabular data that exceeds memory limits

• Fair amount of hours spent with DBT, SQL and data warehouses

• Previous exposure to business - communicating with stakeholders, gathering requirements for the project, demonstrating project outcomes to clients, supporting decision-making processes in non-tech companies or similar activities

• Personal projects, hackathons, summer schools, volunteering, applying ML to your hobby or other initiatives related to AI

Responsibilities:

• driving value-focused AI projects

• shaping our evolving tech stack

• creating optimized processes for implementing ML models and monitoring them in a production environment

• work with clients to help them do this and build their internal expertise

Experience Requirements:

• 7+ years of proven experience with high-quality infrastructure solutions in a collaborative environment including coding standards, code reviews, source control management, build processes, testing, and operations experience

• 3+ years of experience building infrastructure solutions in at least one major cloud provider (AWS, Azure, or GCP)

• Expert proficiency in Kubernetes. Experience in building and running software systems on Kubernetes clusters in production

• Expert proficiency in Kubernetes architecture and operations including resource management scheduling, auto-scaling and cluster networking

• Hands-on experience with infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles

Responsibilities:

• Develop a fully-featured Kubernetes platform built around industry standards to improve developer experiences and enable self-service capabilities

• Work closely with internal application teams to improve their Kubernetes onboarding experience

• Work with app teams to understand their potential challenges and help them choose the best way to architect their systems on Kubernetes

• Design and implement new platform features to meet business and internal team goals

• Monitor and maintain the performance and reliability of the existing Kubernetes platform clusters, and identify and troubleshoot any issues that may arise

Experience Requirements:

• 3-4 years of experience designing technical solutions for cloud applications.

• Experience in software development. Python or Java. Skilled with REST APIs and Postman tools.

• Diligent in Agile delivery.

Responsibilities:

• Create and build complex Workflows using industry best practices

• Write solution and technical documentation including ERDs, data flow diagrams, and business process flows

• Utilize your outstanding technical consulting skills to implement software solutions

• Lead and drive scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, UAT and production deployment

Experience Requirements:

• Minimum of 4 years of IT or related experience with 3 years in solution engineering and/or DevOps with a mid-to-large SaaS enterprise solutions company or similar experience.

• Deep knowledge of Linux systems

• Experience with DevOps automation, CI/CD pipeline and agile methodologies

Responsibilities:

• Collaborating with customer success managers and solutions engineers to bring deep technical expertise in implementing intelligent automation solutions for customers.

• Providing customers and solution engineers with ongoing technical support for complex issues and support escalations.

• Optimizing and automating support processes including improving reliability of on-call processes, managing incidents, updating runbooks and documentation, reviewing RCAs and recommending solutions to prevent the recurrence and severity of incidents.

Experience Requirements:

• 5+ years of experience of SRE/CloudOps Manager/Lead role in Enterprise SaaS

• Track record of developing and mentoring great talent, building and motivating high-achieving teams. Ability to lead diverse teams across multiple time zones.

• Business Acumen - Ability to quickly grasp and adapt to a variety of customer verticals, geographies, and business structures.

Responsibilities:

• Build and Manage a world-class SRE team. Design a 24x7 follow-the-sun organization including seamless handover across regions. Mentor and grow team focused on delivering white glove support and incident management service.

• Drive data-driven SRE strategy by defining and prioritizing SRE Objectives and Key Results (OKRs) aligned with company mission. This includes setting measurable targets for key service level agreements

• Manager Enterprise Support function to deliver exceptional white glove experiences at scale in close partnership with our Customer Success, Solution Consulting and Engineering teams.

Benefits:

• Unlimited paid-time off under terms and conditions.

• Yearly salary review.

• 2 festival bonuses.

Experience Requirements:

• 2+ years of experience as a software engineer, preferably in software development company.

Responsibilities:

• Design and build new services and/or contribute to existing services that support our product.

• Collaborate with internal teams for building and/or tweaking services to solve interesting problems, support new use cases, while staying integral to our core purpose.

• Understand business requirements and implement them in code.

• Troubleshoot customer issues by diving deep into application logs and metrics.

• Follow best practices and conventions while writing code.

Benefits:

• Flexible Time Off

• Parental Leave

• Health Benefits

• Supplemental Benefits

• 401(k) Savings: Save for and invest in your future using our Guideline 401(k) retirement savings program.

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degree preferred.

Experience Requirements:

• 5+ years of experience in Operations, DevOps, DevSecOps, or related engineering roles.

• Expertise in building out application security pipelines and CI/CD platforms using tools such as GitHub Actions, Jenkins, and/or Azure DevOps.

• Proficiency in programming/scripting languages like Python or Go.

• Hands-on experience with IaC tools (Terraform, OpenTofu, CloudFormation) and cloud platforms (AWS, Azure).

Responsibilities:

• Aggregate and assess vulnerability data from multiple scanning tools and sources.

• Quickly triage vulnerabilities; accurately assessing their risk and impact, and clearly documenting findings.

• Define effective remediation actions and collaborate directly with relevant teams to initiate timely fixes.

• Act as the primary contact for security compliance engagements and audits across the business.

• Develop, publish, and maintain clear metrics and reports that demonstrate the effectiveness and progress of our vulnerability management program.

Benefits:

• Flexible Time Off

• Parental Leave

• Health Benefits

• Supplemental Benefits

• 401(k) Savings: Save for and invest in your future using our Guideline 401(k) retirement savings program.

Education Requirements:

• BS or MS degree in Computer Science, or equivalent experience.

Experience Requirements:

• 7+ years of real-world professional experience writing back end or data-driven software in demanding environments.

• You’ve deployed production code and services to cloud-hosted environments.

• You have demonstrated experience delivering incremental releases from proof-of-concept to MVP to production.

Responsibilities:

• Ingest product requirements, define technical requirements, and design practical, iterative technology designs that achieve our product and technical goals.

• Work with your product manager to develop implementation plans against our technical product roadmaps.

• Personally maintain, develop, and deploy our customer facing workflows to create and support our overall product architecture.

• Analyze and propose technical solutions to invent, enable, and enhance our product offerings.

• Be responsible for automating, testing, and deploying your own and your team’s work.

Benefits:

• Flexible Time Off

• Parental Leave

• Health Benefits

• Supplemental Benefits

• 401(k) Savings: Save for and invest in your future using our Guideline 401(k) retirement savings program.

Education Requirements:

• BS or MS degree in Computer Science, Software Engineering, or equivalent experience

Experience Requirements:

• You are an experienced engineer with 2-3 years of real-world professional experience writing web front end applications in React, Angular, or other web libraries or frameworks.

• You have a track record of ownership and delivery of projects with major organizational impact

• You care deeply about engineering excellence, clean code, testing, and knowledge-sharing

Responsibilities:

• Build products that enable the world's leading governments, logistics providers, and enterprises to move towards safer, more resilient, and more inclusive global commerce

• Develop new user facing features for the Altana product suite including workflows for network exploration, risk assessment, graph analysis, and transaction screening

• Design and build reusable, well tested code and libraries for data exploration, visualization, and analysis

• Collaborate closely with product and design to prototype, develop and launch new features and enhancements to customer experience

• Analyze and propose technical solutions to invent, enable, and enhance our product offerings

Benefits:

• Remote & Flexibilität – Hybrid-Modell mit bis zu 2 Tagen Homeoffice pro Woche + 15 zusätzliche Remote-Tage innerhalb der EU

• Teamkultur & Events – Regelmäßige Team- und Firmenevents für echten Zusammenhalt

• Top-Verpflegung – Barista Bar, gesunde Snacks, täglicher Essenszuschuss (4€) & monatliche Team-Dinner

• Top Verkehrsanbindung – S-Bahn, U-Bahn & Bus direkt vor der Tür

• Business-Bike – Wir unterstützen dich beim Kauf eines Fahrrads für deinen Arbeitsweg

Education Requirements:

• Abgeschlossenes Studium oder Ausbildung im Bereich IT, Elektrotechnik, Mechatronik, Informatik oder vergleichbare Erfahrung

Experience Requirements:

• Erste Erfahrung im technischen Support, Kundenservice oder einer vergleichbaren technischen Rolle

Other Requirements:

• Fließendes Deutsch & Englisch in Wort und Schrift

• Eigeninitiative & lösungsorientierte Arbeitsweise

• Technisches Know-how & Begeisterung für IoT, Sensorik & smarte Hardware

• Exzellente Kommunikationsfähigkeiten, auch bei komplexen Themen

Responsibilities:

• Technischer Support (1st & 2nd Level) für unsere IoT-Sensoren & Hardware

• Fehleranalyse, Priorisierung & Problemlösung für Kundenanfragen

• Nachhaltige Lösungen entwickeln, indem du wiederkehrende Probleme identifizierst

• Zusammenarbeit mit internen Teams zur Lösung komplexer technischer Fälle

• Klare Kommunikation technischer Lösungen an Kunden & Stakeholder * Erstellung & Pflege technischer Dokumentationen, FAQs & Leitfäden * Wissensweitergabe & Prozessoptimierung im Support-Team