英伟达Senior AI Infrastructure Software Engineer
任职要求
• Master or PhD or equivalent experience in Computer Science or related field, with a minimum of 5 years in large-scale distributed systems or AI infrastructure. • Advanced expertise in Python (required), strong experience with JavaScript, and deep knowledge of software engineering principles, OOP/functional programming, and writing high-performance, maintainable code. • Demonstrated expertise in crafting scalable microservices, web apps, SQL, and NoSQL databases (especially MongoDB and Redis) in production with containers, Kubernetes, and CI/CD. • Solid experience with distributed messaging systems (e.g., Kafka), and integrating event-driven or decoupled architectures into robust enterprise solutions. • Practical exp…
工作职责
• Design, develop, and improve scalable infrastructure to support the next generation of AI applications, including copilots and agentic tools. • Drive improvements in architecture, performance, and reliability, enabling teams to bring to bear LLMs and advanced agent frameworks at scale. • Collaborate across hardware, software, and research teams, mentoring and supporting peers while encouraging best engineering practices and a culture of technical excellence. • Stay informed of the latest advancements in AI infrastructure and contribute to continuous innovation across the organization.
• Design, develop, and improve scalable infrastructure to support the next generation of AI applications, including copilots and agentic tools. • Drive improvements in architecture, performance, and reliability, enabling teams to bring to bear LLMs and advanced agent frameworks at scale. • Collaborate across hardware, software, and research teams, mentoring and supporting peers while encouraging best engineering practices and a culture of technical excellence. • Stay informed of the latest advancements in AI infrastructure and contribute to continuous innovation across the organization.
TCS(Tencent Cloud-native Suite) is a Cloud-Native Platform for Enterprise Cloud-Native Transformation supports on-premise bare metal or third-party IaaS deployments. Product Solutions Architect (PDSA) is a key pre-sales technical position in Tencent Cloud - TCS product team. Our PDSAs are experienced solution architects with professional knowledge and industry insight and are, ultimately, the pivotal role in supporting the global sales team by providing cloud-native solutions, striving to meet product sales targets, and leading key projects for customer onboarding. Job Responsibilities: ● Acting as a subject matter expert on Tencent Cloud - TCS products (container, microservice, message queue), providing training and enablement to the account and Solution Architect (SA) teams. ● Supporting regional events and marketing programs to promote Tencent TCS solutions to potential customers. ● Delivering optimized solutions and advocating best practices to customers by utilizing the full capabilities of Tencent TCS products. ● Gathering and analyzing customer feedback to enhance product offerings, improve market competitiveness and help build the product roadmap continually. ● Monitoring key industry trends and technological shifts, offering trusted advice to customers for optimizing their IT infrastructure and improving their user experience. ● Expanding the product ecosystem through collaboration with global channels, industrial partners and third-party Independent Software Vendors (ISVs). Creating position papers, and aligning advocacy efforts with Tencent Cloud’s core business policies across multiple departments (business, security, legal, and government affairs). ● Reporting to the Head of the product architect team, this role requires a dynamic, curious, and technology-driven candidate who thrives in challenging environments and can navigate ambiguity with strategic insight.
• Design, implement, and maintain AI/ML software solutions with clean, scalable, and testable code • Collaborate with senior engineers and cross-functional partners to understand requirements and translate them into concrete technical tasks • Develop and refine ML workflows, including training, evaluation, and inference pipelines for both traditional models and LLM-based solutions • Contribute to agentic system development and RAG-based architectures that enable intelligent automation and reasoning • Stay up to date with the evolving AI/ML landscape and help improve our tools, infrastructure, and practices based on new developments • Participate in code reviews, design discussions, and documentation to ensure high engineering quality and team knowledge sharing • Support testing, deployment, and monitoring of models and services in production environments
• Implement AI/ML models for target detection, collision avoidance and automation control • Control robotics systems with computer vision, 3d camera, machine learning, etc • Develop automation software systems with smart, scalable, and testable code • Collaborate with senior engineers and cross-functional partners to understand requirements and translate them into concrete technical tasks • Work with various sensor modalities (LiDAR, cameras, IMUs, etc.) • Stay up to date with the evolving AI/ML landscape and help improve our tools, infrastructure, and practices based on new developments • Utilize CAD software (SolidWorks, Fusion 360, or equivalent) for mechanical modeling and fabrication (3D printing, CNC machining, etc.)