Search the 13 jobs at Untether AI

The Neural Network Optimization Engineer develops and optimizes neural networks for AI inference on cutting-edge hardware, collaborates with cross-functional teams, diagnoses user challenges, and ensures effective product usage by customers. They manage projects, communicate optimizations, and engage with customers post-sale, contributing feedback to improve the technology.

The Senior Staff Design Verification Engineer will verify new hardware blocks and sub-systems, develop and maintain verification environments, and collaborate with design engineers to meet project goals. Responsibilities include creating test cases and ensuring designs meet performance requirements.

The Staff Emulation & FPGA Prototyping Engineer will utilize FPGA-based platforms and hardware emulation systems to validate pre-silicon designs. Responsibilities include developing prototypes, debugging FPGA implementations, configuring emulation systems, and enabling early software development. The role requires collaboration with design and firmware teams to ensure functionality and performance of system-on-chip designs.

The Neural Network Development Lead will design and develop advanced neural networks for customer-specific solutions. Responsibilities include managing teams, optimizing C++ low-level programs, and enhancing the existing model garden while collaborating with cross-functional teams to ensure effective use of technology.

The Technical Program Manager will oversee software engineering programs, define project milestones, track metrics, and manage resources. The role includes coordinating with engineering teams, addressing issues, and establishing best practices in project management.

As a Staff RTL Design Engineer, you will architect, implement, and verify custom hardware designs, focusing on SOCs with advanced interfaces. Responsibilities include designing RTL modules using Verilog/SystemVerilog, simulating hardware testing, and applying Agile methodologies for development, with a strong emphasis on teamwork and problem-solving.

Formal Verification Engineer at Untether AI responsible for driving formal verification methodology on multiple components inside Custom AI Inference IP. Requires knowledge of SystemVerilog Assertion, HDL languages, formal verification technologies, and experience in Design Verification with a Bachelor's or Master's degree in Electrical Engineering or Computer Engineering.

As a Staff Pre-Silicon Firmware Engineer, you'll develop low-level embedded firmware, influence architecture, create firmware interfaces, and verify routines pre-silicon. You'll also validate and debug chips in the lab and collaborate with cross-functional teams. Your role includes mentoring engineers and enhancing design tools.

The RTL Designer will architect, implement, verify, and productize custom hardware designs, primarily focusing on developing IP for ASICs and FPGAs. Key responsibilities include designing RTL modules, simulating hardware testing, and utilizing Agile methodologies for development. Strong communication skills and problem-solving abilities are essential.

The Staff Layout Design Engineer will develop custom memory and digital layouts, collaborating with circuit designers to meet design goals. Responsibilities include creating layouts through LVS, DRC, and power domain checks, while addressing process variation effects.

The AI Applications Engineer will support the Product team by working with data scientists to ensure efficient AI workload deployment on Untether AI's custom accelerator devices. Responsibilities include engineering support, customer demo creation, staying updated on machine learning trends, and collaborating with Sales.

As a Compiler Engineer at Untether AI, you'll develop software to map neural networks onto their hardware, implement data layout strategies, and collaborate with hardware design teams to optimize performance. Your work will focus on creating efficient translations of neural networks for accelerated implementations, addressing functional and performance challenges.

As a Staff Software Engineer, you will work on the productization team focusing on large-scale AI solutions, collaborating with cross-functional teams to develop scaleout solutions, and delivering orchestration software. You will also interact with hardware to validate solutions and address customer needs, driving innovative hardware-software integration.