特斯拉Network Engineer，WAN&AI DC
任职要求
Basic 3+ years of professional experience in network engineering or related fields. Strong understanding of IP networking, including L2/L3 protocols, OSPF, BGP, LAN/WAN, SD-WAN, TCP/IP, DHCP, DNS, QoS, VLAN, ACL, SNMP, syslog, VPN. Hands-on experience with Juniper platforms (MX, EX, SRX, QFX) and Cisco platforms (ISR, ASR, Nexus, Catalyst). Experience in large-scale data center deployments; familiarity with 400G/800G platforms is a plus. Understanding of AI training principles and networking architecture for AI clusters. Experience using automation tools for network and server deployment. Proficient in traffic engineering a…
工作职责
The Role As a key member of the Network Team within IT Infrastructure & Operations, this role will focus on the design, implementation, and operation of network systems across industrial internet, IoT, and traditional internet environments. The position involves working closely with corporate networks, data center networks, and retail network infrastructure to support Tesla’s global operations. Responsibilities: Design, build, and maintain data center networks, including AI data center networks. Lead network architecture design and implementation of network projects, including the creation of high-level design (HLD) and detailed design (LLD) documentation. Develop and maintain network design and operations documentation. Define and implement network performance metrics to monitor and analyze network health and availability. Explore and evaluate emerging network technologies, and integrate them into Tesla’s existing infrastructure. Establish and optimize IT/OT/IoT technology standards applicable to Tesla’s operational environments.
• Design, build, and harden containers for NIM runtimes, inference backends; enable reproducible, multi-arch, CUDA-optimized builds. • Develop Python tooling and services for build orchestration, CI/CD integrations, Helm/Operator automation, and test harnesses; enforce quality with typing, linting, and unit/integration tests. • Help design and evolve Kubernetes deployment patterns for NIMs, including GPU scheduling, autoscaling, and multi-cluster rollouts. • Optimize container performance: layer layout, startup time, build caching, runtime memory/IO, network, and GPU utilization; instrument with metrics and tracing. • Evolve the base image strategy, dependency management, and artifact/registry topology. • Collaborate across research, backend, SRE, and product teams to ensure day-0 availability of new models. • Mentor teammates; set high engineering standards for container quality, security, and operability.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. We are looking for a Senior Software Design Engineer to join our Ethernet Switch SONiC Network OS team. As a Design Engineer at NVIDIA, you will work closely with NVIDIA’s development and architecture teams and gain deep understanding of NVIDIA products and technologies. What you’ll be doing: • Be part of NVIDIA SONiC R&D team, contribute code to SONiC worldwide community. • Design and implement robust, maintainable, and efficient automation test suite. • Work with experienced teams which are well known in the SONiC community. • Senior software developer as part of a networking oriented software development team. • Portable networking software implementation in an embedded environment (Ethernet switch/router product line) • Full development cycle methodology (from design to final delivery to customer in high scale data centers)