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.

Education Requirements:

• Bachelor's degree in Supply Chain Management, Business Administration, Engineering, or related field.

Experience Requirements:

• Proven experience in capital equipment procurement within a manufacturing environment.

Responsibilities:

• Manage the procurement process from initial purchase requisition to delivery and installation.

• Identify, evaluate, and select suppliers for capital equipment purchases.

• Negotiate pricing, terms, & contracts to ensure cost-effectiveness & quality standards.

• Collaborate with all stakeholders to determine equipment specifications and requirements.

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

Benefits:

• Health insurance

• Career growth opportunities

• Access to training, events, and conferences

• Free coffee

• Arcade machines

Education Requirements:

• Bachelor’s degree in Computer Science, Business, Engineering, or equivalent experience.

Experience Requirements:

• 5+ years in pre-sales, business development, or similar roles in tech.

• Technical expertise in at least one of Visor.ai’s core areas: AI, data science, software engineering.

• Strong knowledge of cloud contact centers and automation software.

• Experience with API integrations, web services, and AWS Cloud.

Other Requirements:

• Native in Portuguese and fluent in English & Spanish.

Responsibilities:

• Define & optimize the pre-sales process for efficiency and accuracy.

• Understand client needs, identify potential challenges, and propose solutions.

• Collaborate with engineering teams to tailor products to customer requirements.

• Provide technical expertise and support in demonstrations of new products.

• Assist in proposal preparation, aligning solutions with client needs.

Experience Requirements:

• 3년 미만 Sales Operation 또는 Inside Sales 경력

Responsibilities:

• 영업 데이터 관리 및 분석

• 영업 프로세스 최적화

• 계약 및 자산관리 지원

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

Experience Requirements:

• 경력 3~8년

Responsibilities:

• 제품 기능 요구사항 기반 테스트 시나리오 작성 및 수행

• 자동화 테스트 도구를 활용한 반복 검증 프로세스 설계

• 다국어(Localization) 기능 테스트

• 의료 영상 기반 UI 및 워크플로우에 대한 검증

• 테스트 결과 문서화 및 결함 리포팅

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:

• Lead Mechanical Engineering workstreams for electromechanical sensor integration onto wearable hardware, ensuring all mechanical aspects of development, performance and reliability are met ensuring program success.

• Work across a full technology and product development cycle to deliver robust mechanical designs from concept to production.

• Partner with cross-functional researchers and engineers develop wearable architectures for AR/VR interaction.

• Engage with Contract Manufacturers and Joint Development Manufacturers to produce high-quality devices meeting yield and specification targets.

Benefits:

• Medical insurance

• Vision insurance

• Dental insurance

• 401(k)

• Paid paternity leave, work-life balance support, flexible hours

Education Requirements:

• Chemistry, engineering or other related science degree

Experience Requirements:

• A self-starter with proven critical thinking, problem solving skills and attention to detail

Other Requirements:

• Proficiency in MS Office

• Strong communication skills both written and verbal

• Quick learner, coachable and adaptable; must be able to retain and apply new information quickly

• Strong demonstrated ability to research

Responsibilities:

• Develop formulas, product specifications, processing parameters and create functionality studies for new maintenance chemicals.

• Conduct field trials and collaborate with internal and external customers to evaluate new products/system performance, assist in preparation of reports/presentations.

• Develop standard operating procedures, compatibility studies and evaluation of new equipment.

• Oversee the testing of physical attributes, stability, and performance of products.

• Recognize early failures and discuss with program leader.

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

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:

• 5-10 years of experience in the following areas: Channel leadership and/or management, Channel development, and Enterprise Sales.

Responsibilities:

• Overall responsibility for leading the regional channel execution across cloud, technology ISVs, regional systems integrators, and AI services consulting firms in the DataRobot partner ecosystem.

• Establish DataRobot as the premier “top of mind” AI and Machine Learning software partner by providing a first-class partner experience, demonstrated by measurable joint pipeline and revenue.

• Work closely with DataRobot sales, marketing, business development leadership and customer success leadership to align Go-To-Market (GTM) activities in specific geographies and industries.

• Work with DataRobot partners to develop and tactically implement GTM plans, including lead generation activities, sales motions, partner training/education, and the development of sales and services offerings.

• Provide consistent partner management to ensure that our partners develop their sales, pre-sales, and delivery capabilities according to DataRobot’s strategy.

Benefits:

• Great Company Culture

• Bring your whole self to work

• Rest and Relaxation

• Health Benefits

• Keep learning

Experience Requirements:

• 10+ years of experience in product management, with a strong background in analytics, data platforms, or enterprise SaaS.

• Experience leading customer-facing analytics products for enterprise customers, with a focus on data visualization, reporting, and AI-driven insights.

Responsibilities:

• Define the product vision, strategy, and roadmap for analytics solutions, ensuring alignment with business objectives.

• Identify market opportunities, customer pain points, and emerging trends in enterprise analytics to shape Ushur’s analytics capabilities.

• Develop and execute a roadmap that balances innovation with scalability, ensuring analytics solutions drive value for enterprise customers.

• Own the customer-facing analytics experience, ensuring insights are actionable, intuitive, and embedded in our platform.

• Work closely with the Director of Engineering - Analytics to translate product requirements into technical architectures, solutions, and implementation plans.

Benefits:

• Thriving Company Culture

• Bring Your Whole Self to Work

• Rest and Recharge

• Comprehensive Health Benefits

• Invest in Your Future

Experience Requirements:

• 10+ years of experience in a SaaS or consulting role delivering technical enterprise solutions

• Proven experience leading implementation projects in a Professional Services or Solutions Consulting capacity

• Deep understanding of cloud services (preferably AWS) and API-based integrations

Responsibilities:

• Lead the end-to-end implementation of complex customer solutions, from discovery and design to deployment and post-launch support

• Architect scalable, reusable automation solutions using Ushur’s no-code/low-code platform, ensuring alignment with customer business goals

• Own key customer relationships from a technical delivery standpoint and act as a strategic partner in driving adoption and expansion

• Collaborate with Account Executives, CSMs, and Solutions Architects to define scope, level of effort, and technical strategy