Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Join TI's Career Accelerator Program as a Systems Engineer, focusing on product development, system design, and collaboration with cross-functional teams to drive innovative chip solutions.

Design and build AI solutions using machine learning algorithms, working on diverse applications to deliver robust and secure solutions.

In the Applications Engineer role, you'll promote TI products, solve customer problems, provide technical support, and engage in product development while completing the Career Accelerator Program.

As a Design Verification Engineer, you will develop verification plans, create test benches, run regressions, and improve DV strategies.

Support product definition, system evaluation and customer ramp for analog/mixed-signal ICs. Drive design wins, troubleshoot customer applications, create technical documentation, and collaborate across design, product, test, packaging, marketing and sales to deliver products to market.

Entry-level analog design engineer in TI's Career Accelerator Program. Design, simulate, and implement analog/mixed-signal/RF ICs; collaborate with layout, test, and product teams; perform post-layout verification, prototype characterization, and develop behavioral models to support system-level validation and product release.

As an Applications Engineer in the Career Accelerator Program, you will provide technical solutions and support for TI products, engaging with customers to solve issues and define new opportunities.

Participates in a Career Accelerator Program to develop skills as a Portfolio Marketing Engineer, focusing on product positioning and marketing strategies.

Entry-level Digital IC Design Engineer in Texas Instruments' Career Accelerator Program working on high-speed mixed-signal SerDes and high-performance digital interfaces. Responsibilities include architecture definition, RTL coding, simulation, synthesis, timing closure, verification, prototype characterization, and cross-functional collaboration on AV protocols like DisplayPort and MIPI.

Lead R&D on LLMs for edge AI: design efficient LLM architectures, training and post-training algorithms, reasoning and agentic models, apply LLMs to code generation and tool-enabled automation, and collaborate with systems and business teams to deploy AI/ML solutions.