Engineer II-Software

Are you looking for a unique opportunity to be a part of something great? Want to join a 20,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of trust, empowerment, respect, diversity, and communication? How about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology, Inc.

People come to work at Microchip because we help design the technology that runs the world. They stay because our culture supports their growth and stability. They are challenged and driven by an incredible array of products and solutions with unlimited career potential. Microchip’s nationally-recognized Leadership Passage Programs support career growth where we proudly enroll over a thousand people annually. We take pride in our commitment to employee development, values-based decision making, and strong sense of community, driven by our Vision, Mission, and 11 Guiding Values; we affectionately refer to it as the Aggregate System and it’s won us countless awards for diversity and workplace excellence.

Our company is built by dedicated team players who love to challenge the status quo; we did not achieve record revenue and over 30 years of quarterly profitability without a great team dedicated to empowering innovation. People like you.

Visit our careers page to see what exciting opportunities and company perks await!

Job Description

Microchip Technology Inc. has an opening for an Engineering II-Software position in San Jose, CA. The Microchip FPGA group develops next-generation compute platform for edge compute applications integrated within the high-performance low power FPGAs. As a member of a creative, highly motivated and talented team, you will develop a new compute platform for power performance efficiency applicable to broad range of low power applications including smart embedded vision, industrial IOT, Access/Gateways/Aggregation Networks, Advanced compute platforms for aerospace and defense applications. We need our engineers to be versatile and passionate to take on new problems as we continue to push technology forward.

As a Engineering II-Software, you will help develop machine learning inference systems for FPGA. You will be a hardware programmer in your group, using this knowledge to create new IP and build systems. You will also work with embedded software and handle interfaces with hardware. Your group will work on a vertical design from customer software interfaces to the hardware itself. You will be asked to problem-solve and contribute to many layers of the design. If not already possessed, during this job you'll gain knowledge about modern machine learning tasks. You'll use this knowledge to optimize applications and create next-generation parts.

Responsibilities

• Create System and FPGA designs integrating Machine Learning/ Inference IP with various System level IPs such as Bus Interconnect, HDMI controller, DOR Memory Controller, System Peripherals etc., using state-of-art FPGA design tools.
• Understand hardware architectures, use models and Soc FPGA design flow.
• Be an effective contributor in a cross-functional team-oriented environment.
• Write high quality code in Verilog, VHDL and C/ C++ code for embedded processors. Maintain existing code.
• Learn new system designs and validation methodologies. Understand FPGA architectures.
• Be conversant with on-chip debug tools and lab equipment.

Requirements/Qualifications

• Bachelors degree with 2 to 3 years of experience or Masters degree with 0 years of experience in Electrical Engineering, Computer Science or Computer Engineering.
• Experience developing in VHDL or Verilog for FPGA.
• Experience developing in embedded C/C++.
• Experience working in Linux OS.
• Familiarity with software version control systems like Git or SVN.
• FPGA design flow experience.

Preferred Qualifications

• Experience in developing a Machine Learning Inference Engine for FPGAs.
• Hands-on experience analyzing workloads for multi-core CPUs/ DSP use cases/ Neural Networks.
• Domain knowledge of Machine Learning network models, SDK, design flow.
• Basic knowledge of embedded processors such as ARM Cortex-M3 or RISC-V and familiarity with AMBA bus protocols such as APB, AHB, AXI, ACE and familiarity with commonly used peripherals such as SPI, I2C, UART, Ethernet, PCIe, HDMI and USB.
• Experience or knowledge of using high-speed memory interfaces such as QDRII+Extreme, DDR4/3, LPDDR3 etc.
• Board level debug capabilities in lab environment: hands-on troubleshooting skills for digital logic and analog circuit on PCB's using oscilloscopes, digital analyzers, protocol exercisers and analyzers, integrated logic analyzers.

Travel Time

0% - 25%

Physical Attributes

Feeling, Handling, Hearing, Other, Reaching, Seeing, Talking, Works Alone, Works Around Others

Physical Requirements

90% sitting, 10% standing, 100% indoors

Pay Range

We offer a total compensation package that ranks among the best in the industry. It consists of competitive base pay, restricted stock units, and quarterly bonus payments. In addition to these components, our package includes health benefits that begin day one, retirement savings plans, and an industry leading ESPP program with a 2 year look back feature. Find more information about all our benefits at the link below:

Benefits of working at Microchip

The annual base salary range for this position, which could be performed in California, is $64,480 - $128,000.*

• Range is dependent on numerous factors including job location, skills and experience.

Microchip Technology Inc is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

For more information on applicable equal employment regulations, please refer to the EEO is the Law Poster and the EEO is the Law Poster Supplement. Please also refer to the Pay Transparency Policy Statement.