Develop Linux based machine platform and application software architectures from the first idea to series production and operation; Integrate and adapt the latest software technologies and methodologies; Design and implement embedded machine application
Lead the Data Science team in building reliable ML and AI solutions, from problem framing and data exploration to deployment, monitoring, and continuous improvement. Set technical standards for clean code, reproducible experiments, model tracking,
Architect, develop, and maintain Splunk core platform infrastructure components across multiple cloud providers (AWS, Google Cloud Platform, Microsoft Azure), focusing on scalable, secure, and maintainable software solutions. Drive improvements in
Lead the design and deployment of expert and generalist policies that enable industrial targeted tasksets to be enacted. Develop real-world and simulation-based datasets for benchmarking and validation; guide sensor selection and system integration.
Responsible for ensuring security in IT operations and infrastructure; Maintain security tools and technology; Monitor and audit security policy compliance; Security assessments of information systems; Provide guidance in the implementation of IS security
You will design, develop, and deploy advanced data science models that solve complex business challenges and deliver measurable impact. Working closely with Data Engineers, MLOps Engineers, and cross-functional teams, you will turn raw data into
You will be responsible for deploying, operating, and securing the infrastructure and platform services that support AI‑assisted Vulnerability Management workflows. You will work closely with AI engineers and security teams to enable reliable, scalable,
Your work will focus on identifying and driving performance improvements for state-of-the-art LLM and Generative AI models across NVIDIA accelerators, from datacenter GPUs to edge SoCs. You'll bring to bear open-source tools and plugins - including
Utilize proven technical best practices to inspire and guide the team, ensure that their solutions can be used by other teams in an easy and flexible manner; Own all parts of the service lifecycle, including design, development documentation, testing,
Expect to own and develop significant software features from concept to production, involving cross-functional teams; Approach complex issues with creativity, ready to take risks and course-correct effectively to impact the success of the platform;
Lead the technical direction for ML-driven tools and systems that support the development of CD PROJEKT RED games, with a focus on Unreal Engine workflows, production pipelines, developer productivity, and improving game subsystems
Design, train, and deploy ML/LLM models that automate catalogue enrichment, moderation, and categorisation at scale, owning accuracy, latency, and cost in production. Drive the transition from frontier API models to fine-tuned open-weight models: build
You will provide technical and people leadership for the team responsible for ensuring that ECMWF’s prediction systems and services run reliably in production, while improving and modernising their workflows and integrating changes safely into
Lead and manage a team of gameplay programmers, providing mentorship, guidance, and support to ensure professional growth and project success. Oversee the design, development, and optimization of gameplay systems mechanics, and features, ensuring they
Spearhead full life cycle software development activities, from rapid prototyping to deploying scalable cloud solutions using AI/Cursor as your primary tool. Design, program, and modify advanced software products across on-premise private cloud, and SaaS
You will define and govern the mobile architecture, utilising tools like Dart Code Metrics to maintain code quality. You will balance the necessity of tackling technical debt with the need for efficient feature development. You will provide clear rules,
You will own and evolve the identity and access management layer that secures every service and resource on the platform. You will design and build the systems that control who can access what across Tesla's entire on-premise cloud, from tenant isolation
Design, build, and optimize full-stack features using modern back-end technologies, ensuring scalability and maintainability. Develop and enhance innovative software solutions that automate complex compliance workflows for businesses of all sizes.
Work with AMD’s architecture specialists to improve future products. Apply a data minded approach to target optimization efforts. Stay informed of software and hardware trends and innovations, especially pertaining to algorithms and architecture.
You will be responsible for both technical leadership and people management within the DevOps team. You will help plan, design, build, and maintain the infrastructure, CI/CD tooling, automation, and cloud platforms that support our products and enable
Design and implement rich frontend experiences and scalable backend services that power client's’ wallet infrastructure through the Dynamic platform; Own features across the stack: from technical design and architecture through implementation, testing,