QFocus AI

We are seeking a highly skilled and passionate Hardware Emulation Engineer to join our team working withthe best in the Industry, developing innovative ASIC solutions for data center and AI Infrastructure. As an Hardware Emulation Engineer, you will be at the forefront of pre-silicon validation, ensuring the highest quality and functionality of our hardware before it goes into production.

Key Responsibilities:

·      Emulation Environment Development: Build and maintain pre-silicon emulation platforms using industry-standard systems such as Cadence Palladium or Synopsys ZeBu or Veloce Strato, Primo

·      Model Integration and Optimization: Integrate the RTL design onto the emulation platform by ensuring synthesizability, optimize build efficiency and performance, and work with high-performance transactors and emulation testbenches (e.g., using SystemVerilog, C/C++, Python).

·      Flush out emulation flow issues by performing smoke verification

·      Support validation team in execute comprehensive test content, including bare-metal and OS-based tests, to accelerate bug finding in pre-silicon on the emulation platform.

·      Collaboration: Work closely with cross-functional teams including design, verification and SW development teams to understand issues in using the emulation platform.

·      Flow Automation: Develop and enhance automation scripts and flows using Python, Perl, and shell scripting to manage regressions, optimize runtime, and improve overall verification efficiency.

·      Vendor Collaboration: Interface with emulation platform vendors to debug and quickly resolve technical issues encountered with the tools.

·      The candidate must be able to work independently and proactively on allocated technical tasks.

Required Skills:

·      Proficiency in Hardware Description Languages (HDLs) such as Verilog and SystemVerilog.

·      SoC Knowledge: Solid understanding of SoC architectures and industry-standard protocols (e.g. AXI, PCIe, ETH, USB, HVM)

·      Experience with verification methodologies (UVM, SVA) and related verification environments, including C/C++ DPI is desirable.

·      Strong scripting skills in Python, Perl, Tcl, or Shell for automation.

·      Familiarity with debugging tools (e.g., Verdi, SimVision) and waveform analysis is desirable.

Education:

Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.

Experience:

·      Proven experience of 5+ years in hardware verification and/or emulation roles.

·      Hands-on experience with at least one of the major commercial emulation platforms (Cadence Palladium, Synopsys ZeBu, or Siemens Veloce).

QFocus AI Pvt Ltd is an Equal Employment Opportunity employer.

About the organization

QFocus AI Pvt. Ltd. (QFAI), a wholly owned subsidiary of QFocus Technologies LLC, is a consulting-led engineering services company with sharp focus on supporting next gen advanced products development across AI/ML, Compute, Communication, Storage and Consumer Electronics. Our mission is to help our customers deliver cutting-edge products on time ensuring world-class quality.

Why Join QFAI? Join a passionate team, dedicated to making a difference.  We are a close-knit team, with a strong mission, vision and values that guide our day-to-day.  Recognition of work, respect, and our multicultural community are key aspects of the employee experience and contribute to our continued success.  Would you like to be part of our story? Don't hesitate, come and join us! 

About this opportunity – Network Stack Developer

Join our team working with an elite customer developing cutting-edge AI training/inference server infrastructure silicon. As a Network Stack Developer, you will be developing L2/L3 Protocol stack for validating AI silicon under development.

Key Responsibilities:

·      Develop, Validate and maintain highspeed L2/L3 protocol stacks over NIC drivers in Linux kernel / User mode and other Host/Device operating systems.

·      Implement and optimize L2/L3 protocols, RDMA, and RoCE for high-performance networking applications.

·      Collaborate with cross-functional teams to develop, test NIC firmware and protocol stack software, Troubleshoot and resolve NIC-related technical issues.

·      Develop and maintain test frameworks for NIC performance and functionality testing.

Required Skills:

·      Proficiency in C, C++, and Python programming languages. 

·      In-depth knowledge of networking protocols, including TCP/IP, IPv4, and IPv6 and their packet formats.

·      Hands-on experience with tools for capturing and analyzing protocol packet exchanges across high-speed interfaces.

·      Understanding of high-performance multi-core CPU/GPU clusters and their high-speed interconnect fabric interfaces such as PCIe and Infiniband.

·      Working familiarity with Host Channel Adapters (HCAs) or bridges that parse, translate and route data from standard NW stacks into fabric-specific transport logic would be an added advantage.

Desirable Skills:

·      Hands on experience developing AI training/Inference application would be valuable.

·      Python scripting for test log analysis and NIC behavior triage.

·      Experience with machine learning and deep learning frameworks and their underlying NW payload transfer.

·      Working experience with latest AI coding copilot-based flows to generate, review, test and release code.

Education:

·      Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field with a focus on computer systems or networking.

Experience:

·      At least 6+ years of experience in L2/L3 stack development, using modern NIC device driver APIs including kernel mode and user mode drivers.

·      Experience working with high-speed cloud data center server stack development