Top Python Jobs

The Sr. AI Infra Development Engineer will architect technical solutions for AIOS capabilities across ECU domains, lead proof-of-concept developments, and partner with engineering teams to support AIOS implementations. They will define an evolution roadmap and deliver requirements for development teams while monitoring industry trends.

As an LLM Algorithmic Optimization Engineer Intern, you will research and apply technologies to optimize Large Language Models (LLMs) for efficient inference and deployment across diverse hardware. The role involves collaboration with teams to integrate optimized models into automotive applications and covers the entire pipeline from research to deployment on GPUs and other systems.

The Sr AI Infra Development Engineer will architect solutions for the AIOS foundation, develop proof-of-concepts, collaborate on AI designs for product development, and define the evolution roadmap for AIOS solutions. They require expertise in AI model training, cloud infrastructure, and software development.

Design and implement a microkernel-based operating system and hypervisor for autonomous driving vehicles. Optimize OS functions for performance, security, and safety, while mentoring team members and collaborating on design implementations.

The LLM Algorithmic Optimization Engineer will conduct research and implement optimization techniques for Large Language Models across heterogeneous architectures, ensuring efficient deployment in automotive applications. Responsibilities include model optimization, collaboration with cross-functional teams, and contributions from research to deployment using advanced hardware. A strong focus on GPU/NPU architecture is required, along with proficiency in AI tools.

The Sr. AI/LLM Infrastructure SW Engineer will architect solutions for AIOS, lead proof-of-concept developments, collaborate with engineering teams for high-quality implementations, and define the evolution roadmap for AIOS solutions. This role requires extensive experience in software design, specifically for AI models, and proficiency in programming languages such as C, C++, and Python.

The intern will research and optimize Large Language Models for deployment in automotive technology, collaborating with teams to integrate these models into real-world applications, focusing on improving their inference efficiency on diverse hardware systems.

The Scientist III, Quantum Computing Algorithm Specialist will work on quantum computing algorithm research, developing and implementing algorithms, conducting experiments, and presenting results. The role involves collaboration with teams on R&D projects and contributions to scientific innovation in various applications.

The Field Applications Engineer serves as the technical expert, assisting semiconductor companies with the integration of microscopy technology into their manufacturing processes. Responsibilities include providing on-site technical support, developing innovative customer solutions, and collaborating with internal teams for product development and feedback.

The ESG Quantitative Analyst/Developer will develop automated solutions to deliver ESG analytics to investment teams. Responsibilities include building an ESG Web Application, handling complex portfolio reporting, data ingestion, and collaborating on ESG research projects. The role also involves using quantitative methods to derive insights from ESG data.

The Sr Staff IT Architect will design and implement data-driven strategies using Adobe Experience Platform to enhance customer experiences. Responsibilities include leading AEP implementation, managing data integration, developing segmentation strategies, and optimizing campaign performance through data modeling and analytics. Collaboration with marketing, engineering, and data science teams is essential for achieving business objectives.

The Cloud Disaster Recovery Engineer will implement and maintain disaster recovery and backup capabilities for AWS-based technologies, execute disaster recovery tests, create disaster recovery plans, define policies, deliver infrastructure as code, and manage related tools and technologies.

As a Software Engineering Manager (Data), you will lead teams in developing scalable applications, ensure the health of the data warehouse, manage staffing levels, and participate in technical leadership and best practices. You will oversee ETL processes and improve collaboration among teams to deliver technical excellence.

The Cloud Disaster Recovery Engineer 2 will implement and maintain cloud native platform capabilities for disaster recovery on AWS. Responsibilities include executing disaster recovery tests, defining backup policies, creating tools for developers, and documenting disaster recovery procedures. The role involves collaboration with cross-functional teams to enhance tools and practices related to disaster recovery.

As Manager of Software Engineering - Salesforce, you will lead a team to deliver technology solutions that align with corporate goals. This role involves project management, effective team leadership, and collaboration with multiple stakeholders to enhance systems and ensure secure and scalable applications.

As a System Engineer 1, you will develop, test, and deploy solutions to streamline business processes, work with senior architects, write high-quality code, and implement AWS deployments while ensuring adherence to coding standards and collaborating with cross-functional teams.

As a Staff Software Engineer on the FedRAMP & Certifications team, you will design and implement secure Kubernetes cloud features, solve technical problems in a distributed cloud environment, analyze large systems for performance bottlenecks, and collaborate with multiple teams on government certifications.