Own the Rust services on the vehicle's Linux computer that link the real-time vehicle controller to autonomy and perception on self-propelled battery-electric railcars and vehicles.
Compensation
Base salary: $120,000 - $140,000 plus equity.
Responsibilities
Act as technical owner of the on-vehicle Linux services
Build and extend Rust services on Arm-based embedded Linux using SocketCAN, serial/UART, interprocess communication (IPC) and messaging over ZeroMQ, Redis, and MQTT, and protobuf
Deliver new on-vehicle capabilities end to end
Ship services as Docker containers on the vehicle's embedded Linux computer
Design services to run unattended, with supervision, health checks, restart behavior, and logging
Requirements
Bachelor's Degree in Computer Science
Bachelor's Degree in Computer Engineering
Bachelor's Degree in Electrical Engineering
Nice to have: Microcontroller firmware experience
Nice to have: Container-based embedded Linux platforms
Lead EXL's emerging technology and innovation agenda for AI and adjacent technologies. The role sets the direction for what EXL watches, evaluates, and builds, and owns the innovation pipeline from first scan to a demonstrated, recommended capability.
Responsibilities
Define the emerging technology agenda aligned with EXL's industry focus (Healthcare, Insurance, Banking, and Financial Services) and the Global Technology strategy.
Maintain the technology radar and propose stage classifications and the criteria for moving a technology between stages, for approval by the VP of Enterprise AI Engineering.
Recommend which emerging technologies deserve effort and which should be retired, with the reasoning recorded.
Set the evaluation framework covering functional fit, scalability, security and compliance, licensing, total cost, vendor viability, and community health.
Review evaluation briefs, prototypes, and go/no-go recommendations before they are presented to the VP of Enterprise AI Engineering.
Requirements
Master's or PhD in Computer Science, AI, Data Science, or a related discipline
Bachelor's degree with equivalent experience
Nice to have: publications in AI or related fields
Nice to have: patents in AI or related fields
Nice to have: open-source contributions in AI or related fields
Senior or Lead Software Engineer Consultant responsible for designing, developing, and maintaining Java backend services, building APIs, and contributing to CI/CD pipelines and containerized deployments.
Compensation
Compensation offered for this role is 90,700.00 - 153,925.00 annually and is based on experience and qualifications.
Responsibilities
Design, develop, and maintain Java backend services using Spring Boot or similar frameworks
Build APIs and services OAuth backed by SQL-based relational data stores
Apply modern engineering practices to ensure scalability, reliability, and maintainability
Write clean, testable, and production-ready code using automated testing practices
Make thoughtful design decisions with a focus on simplicity and long-term supportability
As Director, Applied AI/ML and Statistics, Research, you will be Zealand Pharma’s expert in applying machine learning and statistical methods across biological, chemical and imaging data. You will decide which models and statistical methods are fit for which questions, adapt them to our data, and make them reliable and reusable across Research. You will lead translational data science projects that connect patient-derived multi-modal data with research and translational questions.
Locations (2)
Copenhagen, Capital Region, Denmark
Cambridge, Massachusetts, United States
Responsibilities
Evaluate, benchmark, train and apply machine learning models across genomics, chemistry and histopathology data, fine-tuning foundation and task-specific models on internal data where this adds value
Build and maintain a model catalog for Research that records available models, what each is validated for, its performance on internal benchmarks and how to access it
Act as statistical subject matter expert for non-clinical experiments, advising on study design, power and analysis, and setting standards for how results are reported and interpreted
Design, build, and operate the reporting pipeline for Workspace ONE Unified Endpoint Management (UEM).
Locations (3)
Atlanta, Georgia, United States
Canada
Mexico
Compensation
The typical base salary for this role is between USD $120,675 – $180,000 per year and it may be eligible for participation in a corporate bonus program.
Responsibilities
Design, build, and maintain reliable, reusable, and testable services for data ingestion, transformation, storage, and reporting.
Develop and improve batch and streaming pipelines, with attention to data correctness, freshness, scalability, and recovery.
Design analytical data models and optimize schemas, queries, partitioning, and aggregation strategies for reporting workloads.
Identify and troubleshoot performance and reliability issues across application, ingestion, database, and query layers.
Lead the internal frontend team in developing, delivering, and maintaining CDMS Teller X frontend modules, ensuring engineering quality and alignment with business priorities.
Responsibilities
Lead the internal frontend team in developing, delivering, and maintaining CDMS Teller X frontend modules
Partner with the outsourced delivery partner to clarify requirements, align technical solutions, manage dependencies, and jointly deliver Teller X enhancements
Lead the phased transition of all frontend development and maintenance responsibilities within the agreed handover scope from delivery partner to the internal team
Build the internal team’s technical and operational capabilities to independently develop, maintain, and support the frontend functionality transitioned from delivery vendor
Review frontend deliverables from vendor against agreed architecture, coding, testing, and security standards to support a sustainable transition to internal ownership
Design, develop, and support modern cloud-native applications that enable enterprise analytics, data-driven workflows, AI-enabled capabilities, and operational decision-making.
Compensation
The current salary range for this role is $102,400.00 to $179,000.00.
Responsibilities
Design, develop, test, deploy, and maintain modern enterprise web applications using React, TypeScript, Node.js, and related technologies.
Deliver application functionality across presentation, application, integration, and data layers.
Translate business and technical requirements into secure, maintainable, and production-ready software solutions.
Develop responsive, accessible, and intuitive user experiences using React, TypeScript, JavaScript, HTML, CSS, and modern user-interface frameworks.
Build reusable user-interface components, shared libraries, and engineering patterns that can be adopted across product teams.
Requirements
Bachelor’s degree in Computer Science, Engineering, Information Systems, a related field, or equivalent practical experience
Backend engineer responsible for development, operation, and maintenance of video platforms across Rakuten, including backend development, performance tuning, AI integration, and containerized deployment.
Responsibilities
Backend development using PHP/Java
Programming, testing, and performance tuning
Utilizing AI to reduce man-hours and improve quality
Operation and maintenance of the video distribution platform
Development and operation in container environments using Docker/Kubernetes
Work with data science and IT teams to deploy, version and monitor models, establishing machine learning operations practices that make results reproducible and reusable
Lead translational bioinformatics projects with Translational Medicine, Modeling & Simulation and Biometrics, analyzing multi-modal patient sample data to discover and validate biomarkers
Requirements
PhD in machine learning, computational biology, statistics, cheminformatics or a related field
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