25 дней назад
Ph.D. Intern - Architecture, DSP & Systems Architecture (AI Infrastructure)
31 - 62$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Ph.D. Intern - Architecture, DSP & Systems Architecture (AI Infrastructure) (computer architecture, DSP, networking): Architecting and evaluating switching, interconnect, and DSP systems for hyperscale AI infrastructure with an accent on high-speed optical and electrical links, AI fabrics, and system-level modeling. Focus on developing signal-processing algorithms, designing forwarding and congestion-control architectures, and validating performance tradeoffs across latency, bandwidth, and power.
Location: Santa Clara, CA, United States
Salary: $31–$62 per hour
Company
develops semiconductor solutions and data-infrastructure technologies for enterprise, cloud, AI, carrier, and hyperscale applications.
What you will do
- Architect, model, and evaluate system-level designs for switching, interconnect, and DSP applications.
- Develop and optimize DSP algorithms for high-speed optical and electrical links, including equalization, FEC, timing recovery, and signal integrity for PAM4 and coherent modulation.
- Design network architectures for AI fabrics, including forwarding pipelines, congestion control, traffic management, and load balancing.
- Build behavioral models and simulations in MATLAB, Python, or C++ to evaluate architecture, power, latency, and bandwidth tradeoffs.
- Collaborate with analog, digital, and software engineering teams to validate designs against hardware and silicon measurements.
- Present architectural proposals and algorithm results and contribute to technical documentation and design reviews.
Requirements
- Currently enrolled in a Ph.D. program in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Research focus in computer architecture, digital signal processing, communications systems, or networking.
- Research experience in processor or switch architecture, high-speed communications DSP, network protocols, or system-level modeling and simulation.
- Strong analytical fundamentals in areas such as signal processing, queuing theory, information theory, or computer architecture.
- Experience modeling and simulating complex systems using MATLAB, Python, or C/C++.
- Ability to communicate architectural decisions and algorithm tradeoffs clearly.
Nice to have
- Familiarity with Ethernet switching, programmable forwarding pipelines, congestion control, Ultra Ethernet Consortium protocols, RoCE, RDMA, SONiC, or P4.
- Experience with PAM4, coherent or high-speed serial-link DSP, including equalization, FEC, timing, and synchronization.
- Exposure to Verilog, SystemVerilog, cycle-accurate simulation, custom compute architecture, SoC design, or XPU/GPU interconnects.
Culture & Benefits
- Work on architecture and research problems connected to production-scale AI infrastructure and hyperscale data centers.
- Medical, dental, and vision coverage.
- Mental health resources, paid holidays, perks, and discounts.
- Additional compensation may be available for Ph.D. interns.
- Access to export-controlled technology may require an export license review under U.S. regulations.
Hiring process
- Interviews assess individual experience, thought process, and communication skills in real time.
- AI tools, transcription applications, automated answer generators, and note-taking bots are prohibited during interviews.
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