Top Entry Level Hardware Engineer Jobs

The Analog/Mixed-Signal IC Verification Engineer will develop and verify digital circuits for high-performance ADCs and DACs. Responsibilities include behavioral modeling, customer support, and assisting with synthesis and place-and-route processes.

Looking for a Frontend Engineer to work on a new AI product, with a focus on building visually appealing interfaces. Requires experience in TypeScript, React, Vite, Tailwind, Swift, C#, and C++. Team player with good communication skills. In-person work in NYC. No specific experience required, but proficiency in TS/React/Vite/Tailwind is a must.

The Uniformity Engineer I is responsible for troubleshooting, process improvement, and inspection of products for defects. This role focuses on converting tire designs for production, ensuring quality systems integrity, implementing new processes, and optimizing manufacturing both for legacy and new products.

This role involves supervising a crew for building custom decks and patio covers, managing projects, handling repairs, engaging in sales and design with clients, and ensuring high-quality project delivery. Workers will collaborate closely with customers and have opportunities for various roles based on their skills.

Detail-oriented entry-level structural engineer needed to conduct field evaluations of industrial structures, analyze data, develop models, and design rehabilitation/replacement plans. Strong technical skills in AutoCAD, STAAD, ACI 318, AISC, ASCE-7, and IBC preferred. Bachelor's degree in Civil/Structural Engineering required. Excellent written and verbal communication skills essential.

As a Software Engineer (New Grad) at Genesis Therapeutics, you will build tools for visualizing molecules, analyze machine learning models, and manage complex workflows. Collaborating with machine learning engineers and chemists, you will enhance data infrastructure to support vast datasets. Ideal candidates are eager to innovate within the drug discovery domain.

Join Grid as a Staff Machine Learning Engineer in their Seattle office. Work on building and scaling core product lines, implementing and scaling statistical inference systems, and developing machine learning infrastructure. Projects include fraud detection, risk underwriting, predictive analytics, and more. Opportunity to set the standard for Grid's statistical inference and machine learning practice. Tech stack includes GCP, Go, protobufs, BigQuery, and MySQL.