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Efficient Computer

Energy-efficient processors for edge IoT computing

Applications Engineer - Silicon IP

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A Bachelor of Science or Master of Science in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • At least 5 years of experience in ASIC/SoC verification, physical design, silicon IP integration, or a closely related applications engineering role.
  • Strong scripting and automation skills using Python, TCL, Make, or shell to build flows, regressions, and debugging tools.
  • Hands-on experience integrating third-party or internally licensed silicon IP, such as soft or hard macros, protocol or interface IP, interconnect, standard-cell libraries, or memory compilers.
  • Experience diagnosing complex integration issues and translating technical findings into clear, actionable guidance for customers and internal teams.
  • Familiarity with multiple foundries or process nodes and the associated verification, PPA, reliability, and signoff challenges.
  • At least one of the following experience areas: strong SystemVerilog/UVM skills, ability to read and debug RTL, and experience with coverage-driven verification using simulators such as Xcelium, VCS, or Questa; practical experience with synthesis, floorplanning, place-and-route, and static timing analysis using tools such as Cadence Innovus, Synopsys ICC2/Fusion Compiler, PrimeTime, or Tempus; or working knowledge of timing models and physical abstracts (Liberty/ECSM/CCS and LEF), constraints and low-power intent (SDC and UPF), and signoff flows (STA, IR/EM, DRC/LVS).
  • Willingness to travel to customer sites approximately 20–30%, depending on business needs.

Responsibilities

  • Serve as the primary technical point of contact for customers integrating silicon IP, from RTL simulation and UVM testbench setup through synthesis, floorplanning, place-and-route, timing closure, and signoff.
  • Debug customer-reported issues across RTL, testbenches, constraints, and physical implementation, distinguishing IP defects and deliverable issues from configuration errors, protocol misunderstandings, constraints, or implementation choices.
  • Develop and maintain reference verification environments, example testbenches, implementation flows, floorplan guidance, and integration collateral, including SDC and UPF templates, to reduce customer ramp time.
  • Deliver onsite and remote technical training on IP architecture, verification methodology, verification IP usage, coverage closure, timing models, physical abstracts, and implementation best practices.
  • Partner with engineering and product leaders to aggregate field evidence, prioritize corrective work, and shape future capabilities, deliverables, and release content.
  • Support presales technical evaluations by helping prospective customers assess IP quality, verification collateral, PPA, floorplan compatibility, node/process readiness, and integration effort.
  • Lead architecture-to-signoff reviews of customer integrations, identify implementation risks, and recommend corrective actions across configuration, verification, performance, timing, power, and area.
  • Exercise upcoming IP releases and customer collateral in representative integration flows, document gaps, and work with engineering owners to close them before external delivery.
  • Advise customers on interface and protocol integration, multi-voltage and power-domain design, DFT stitching at the IP boundary, and node-specific signoff requirements.
  • Turn recurring support cases into reusable enablement, including reference examples, diagnostic playbooks, automation, and self-service guidance, to shorten resolution time for customers and the field team.
  • Track and report field issues and recurring integration patterns to inform the IP roadmap, deliverable quality, and process-node support priorities.

Desired Qualifications

  • Experience as an IP vendor applications engineer, verification or physical-design consultant, or silicon IP integrator at a systems/SoC company.
  • Experience with formal verification, protocol compliance suites, verification IP, low-power design, SoC-level DFT, or reliability signoff.
  • Experience with processor-based SoC integration, cache-coherent fabrics, and high-speed chip-to-chip or peripheral interfaces relevant to the platform.
  • Public speaking, technical training, or conference presentation experience.

About the Company

Efficient Computer

Energy-efficient processors for edge IoT computing

Efficient Computer makes energy-efficient programmable processors for IoT edge devices and sells a compatible software toolchain that fits existing embedded languages and AI/ML workflows. These processors run local computations at the edge, reducing the need to send data over wireless links, which saves power and enables real-time processing and data compression. Its strength comes from combining hardware with a developer-friendly ecosystem rather than relying on general-purpose chips, helping deployments last longer in places without wired power. Its goal is to enable widespread, cost-effective edge deployments by dramatically lowering energy use and total cost of ownership for IoT networks.

Company size
51-200
Company stage
Series B
Total funding
$173M
Headquarters
Pittsburgh, PA
Founded
2022

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