Job summary
Job post source
This job is from a recruiting firm hiring for a separate company.
Job overview
The Engineer I-Software - Entry Level role involves developing machine learning inference systems for FPGA and contributing to new compute platform design at Microchip Technology Inc.
Responsibilities and impact
The role requires creating and maintaining software tools for machine learning model porting and compiling, understanding inference flow, contributing in a team environment, writing high-quality Python and C/C++ code, and using on-chip debug tools and lab equipment.
Experience and skills
Candidates must have a Bachelor's in Electrical Engineering, Computer Science, or Computer Engineering, experience in Python and C/C++ development, embedded software, Linux OS, and version control systems; preferred skills include machine learning, multi-core CPU/DSP workloads, neural networks, embedded processors knowledge, and hardware simulation.
Company information
Microchip Technology Inc. is a leading semiconductor supplier specializing in smart, connected, and secure embedded control solutions, known for offering H1B sponsorships.
Company overview
Jobright.ai is a technology company focused on leveraging artificial intelligence to streamline and enhance the job search and recruitment process for both candidates and employers. The company generates revenue primarily through subscription-based services and partnerships with organizations seeking to optimize hiring, offering tools such as AI-powered resume analysis, job matching, and interview preparation. Founded to address inefficiencies in traditional recruitment, Jobright.ai has positioned itself as an innovator in the HR tech space, emphasizing automation and data-driven insights. Notable milestones include the launch of its proprietary AI algorithms and collaborations with major job boards and corporate clients. Candidates should be aware of Jobright.ai’s commitment to ethical AI practices and its rapidly evolving product suite.
How to land this job
Tailor your resume to emphasize your proficiency in Python and C/C++ development, highlighting any embedded software projects and experience working in Linux environments to align with the job requirements at Jobright.ai.
Focus on showcasing your understanding of machine learning inference flow and any exposure to FPGA or hardware simulation, as these are critical to the role's responsibilities.
Apply through multiple platforms such as Jobright.ai's corporate careers page and LinkedIn to maximize your application visibility and increase your chances of consideration.
Connect with engineers and hiring managers in the software or embedded systems divisions at Jobright.ai on LinkedIn; start conversations by referencing recent company projects in machine learning or edge computing, or by expressing genuine interest in their work on FPGA-based solutions.
Optimize your resume for ATS by including keywords like 'machine learning inference,' 'embedded software,' 'Python,' 'C/C++,' 'Linux,' 'FPGA,' and 'Git' to ensure your application passes initial automated screenings effectively.
Use Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application channels, and find relevant LinkedIn contacts, allowing you to focus your time on preparing for interviews and networking.
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