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System Solution Applications Eng

System Solution Applications Eng

LatticeMalaysia, Malaysia
2 hari lalu
Penerangan pekerjaan

Lattice Overview

There is energy here…energy you can feel crackling at any of our international locations. It’s an energy generated by enthusiasm for our work, for our teams, for our results, and for our customers. Lattice is a worldwide community of engineers, designers, and manufacturing operations specialists in partnership with world‑class sales, marketing, and support teams, who are developing programmable logic solutions that are changing the industry. Our focus is on R&D, product innovation, and customer service, and to that focus, we bring total commitment and a keenly sharp competitive personality.Energy feeds on energy. If you flourish in a fast paced, results‑oriented environment, if you want to achieve individual success within a “team first” organization, and if you believe you can contribute and succeed in a demanding yet collegial atmosphere, then Lattice may well be just what you’re looking for.

Responsibilities & Skills

Accountabilities :

  • Develop FPGA-based solution specifications based on customer requests in various verticals including industrial automation, client computing and automotive among others.
  • Partner with IPs design and application engineers in delivering and fine‑tuning design implementation for performance / power (accuracy, speed, breadth etc.).
  • Collaborate with UX testers to define scope of validation, review test results, interpret data and implement improvements to solutions.

Requirements :

  • BS / MS in EE / CE with 10+ years of experience in architecture / microarchitecture, RTL design and verification.
  • Hands‑on RTL design and verification experience working on either ASICs, SOCs or FPGAs is required.
  • Familiarity with advanced verification methodologies including UVM is desirable.
  • Experience in developing or integrating the following IPs is required - SDI, HDMI, Display Port, SLVS-EC, MIPI, USB, I2C, Ethernet.
  • Experience in implementing and optimizing hardware‑accelerated deep learning models (e.g. CNNs) on FPGAs for high throughput, low latency and low power is a plus.
  • Experience with system integration of multiple IPs, software / hardware co‑design for solutions is highly desirable.Ability to analyze architectures / microarchitectures and circuit options to find optimal design points considering power / performance / area tradeoffs is required.
  • Problem solver and creative thinker, ability to transform ideas from research articles into working solutions for real‑world problems.
  • Knowledge of basic and advanced image processing algorithms is an advantage.
  • Outstanding English communication skills, both written and verbal required.
  • Must be able to work independently and in a team environment.
  • #J-18808-Ljbffr

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