Engineer II-Software

Microsemi
San Jose, CA, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
0 years minimum
Compensation
$70,304.0 - $143,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis C++ (Programming Language) Program Optimization Computer Programming Field-Programmable Gate Array (FPGA) Python (Programming Language) Machine Learning Tensorflow Reinforcement Learning Deep Learning Linux Development
+2 more
Optimization Algorithms Build Tools

Job description

  • Develop and evaluate AI/ML model architectures, including deep learning and deep reinforcement learning (DRL) systems.
  • Explore reinforcement learning, neural architecture search, and hardware-aware model optimization.
  • Contribute to system optimization pipelines balancing performance, power, latency, and cost.
  • Develop AI/ML benchmarks, training/inference pipelines, and simulation environments.
  • Build tools leveraging statistical modeling, graph-based learning, and optimization algorithms.
  • Analyze data and collaborate across software, hardware, and product teams.
  • Help define future AI/ML-enabled FPGA product directions.

Requirements

  • Bachelor’s, Master’s, or PhD in relevant technical disciplines.
  • 0-4 years of experience in AI/ML, deep learning, or reinforcement learning.
  • Strong programming skills in Python and/or C/C++ with ML frameworks.
  • Familiarity with Linux development environments.
  • Knowledge of ML algorithms, RL, statistics, and optimization.
  • Interest in hardware/software co-design (FPGAs, ASICs, accelerators).
  • Strong analytical and communication skills.

Benefits & conditions

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 the US, is $70,304 - $143,000.*

About the company

Are you looking for a unique opportunity to be a part of something great? Want to join a 17,000-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., This position is part of the Advanced Development team focused on next-generation Artificial Intelligence and Machine Learning systems within Microchip’s FPGA Division. The team is driving innovation at the intersection of AI/ML algorithms, hardware-aware optimization, and intelligent systems deployment.

Microchip is a leading provider of low-power, high-reliability FPGA platforms used across embedded AI, autonomous systems, industrial automation, and aerospace applications. Building on this foundation, the organization is expanding its capabilities in AI-native architectures, on-device learning, and adaptive intelligent systems.

The successful candidate will join a core team that develops AI/ML-driven architectures and learning systems, collaborating with hardware, software, and systems engineering teams to co-design intelligent, adaptive FPGA-based platforms. This includes integration with heterogeneous compute elements such as embedded processors, accelerators, and secure execution environments., To all recruitment agencies: Microchip Technology Inc. does not accept unsolicited agency resumes. Please do not forward resumes to our recruiting team or other Microchip employees. Microchip is not responsible for any fees related to unsolicited resumes.

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