Etched
San Jose, California
Job Description Job Description About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference . Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary We are using AI to build AI chips. AI agents are starting to genuinely work for verification, debug, and EDA flows - we want someone to bring that inside Etched and push past it. As an Applied AI Engineer, you will embed with our hardware teams - RTL design, verification, DFT, physical design, and silicon validation - and build the agents and tooling that multiply their output. You'll wire LLM agents into simulators, regressions, waveform and log analysis, EDA flows, and bring-up workflows, and own the evals that separate demos from tools engineers actually rely on. This is an internal, force-multiplier role: your success is measured by how much faster the chip team moves, not by lines of code you ship yourself. It is not a customer-facing role and not about inference serving - it's AI applied to how we build the chip itself. You do not need to be a chip designer or a traditional software engineer - you need to be an exceptional problem solver who has shipped real agentic systems, works comfortably across stacks and domains, and uses AI to ramp on hard new problems fast. Key responsibilities Build, deploy, and maintain LLM-agent workflows that accelerate chip development: debug triage, testbench and coverage work, log/waveform analysis, EDA script generation, and engineering knowledge retrieval Embed with hardware teams to find the highest-leverage pain points, then turn them into automated workflows with measurable adoption Design rigorous evals for agent performance on real silicon-engineering tasks - not proxy metrics - and use them to drive iteration Integrate agents with our internal infrastructure: simulation and emulation flows, CI/regression systems, lab equipment, and issue tracking, via tool-calling and MCP Champion adoption: documentation, training, and fast feedback loops with the engineers who use what you build You may be a good fit if you have A track record of solving hard problems across stacks and domains - you enjoy being dropped into unfamiliar territory and figuring it out Comfort with Python and code: you can read it, modify it, debug it, and direct AI to write it well. We do not care whether you write code from scratch - we care whether you ship things that work Fluency using AI to learn and ramp on new problems - agentic coding tools, deep research, and frontier models are how you work, not an add-on Hands-on experience building and shipping LLM-based agents or AI tooling that real users depend on (beyond calling an API - context engineering, tool integration, orchestration, failure analysis) An eval-driven mindset: you measure whether AI systems actually work before scaling them High agency and comfort with ambiguity - you can find the problem, not just solve the stated one Interest in chip development and the ability to ramp quickly on a deeply technical domain. Hardware experience is a real plus, but not required - you will be willing and able to learn quickly Strong candidates may also have experience with Chip development in any form (the strongest plus): RTL/SystemVerilog, functional verification (UVM), DFT, physical design/STA, FPGA, emulation, or silicon bring-up and validation EDA tool flows and Tcl scripting; reading waveforms, logs, and regressions Fine-tuning or post-training (SFT, RLHF/DPO), RAG over proprietary technical data, or multi-agent orchestration Deep software engineering: C++ or Rust, developer-facing internal platforms, CI/CD at scale, or infrastructure (Docker, Slurm, Ray) Representative projects In your first 30 days, pick one hardware team's worst recurring pain, ship an agent for it, and prove adoption with usage data Build an agent that triages overnight regression failures, clusters them by root cause, and drafts bug reports with waveform and log evidence attached Wire Claude Code-style agents into our EDA and validation flows via MCP so engineers can drive simulations, queries, and lab equipment from natural language Create a retrieval system over our specs, design docs, and past debug history that cuts ramp time for new engineers Design an eval suite that measures agent performance on real verification and debug tasks, and use it to decide which workflows to automate next Prototype AlphaEvolve-style optimization loops that propose and automatically verify improvements to test programs or flow scripts Benefits Full medical, dental, and vision packages, with generous premium coverage Housing subsidy of $2,000/month for those living within walking distance of the office Daily lunch and dinner in our office Relocation support for those moving to San Jose (Santana Row) Unlimited compute budget subject to ROI justification How we're different Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed. Compensation Range: $150K - $275K
Job Description Job Description About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference . Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary We are using AI to build AI chips. AI agents are starting to genuinely work for verification, debug, and EDA flows - we want someone to bring that inside Etched and push past it. As an Applied AI Engineer, you will embed with our hardware teams - RTL design, verification, DFT, physical design, and silicon validation - and build the agents and tooling that multiply their output. You'll wire LLM agents into simulators, regressions, waveform and log analysis, EDA flows, and bring-up workflows, and own the evals that separate demos from tools engineers actually rely on. This is an internal, force-multiplier role: your success is measured by how much faster the chip team moves, not by lines of code you ship yourself. It is not a customer-facing role and not about inference serving - it's AI applied to how we build the chip itself. You do not need to be a chip designer or a traditional software engineer - you need to be an exceptional problem solver who has shipped real agentic systems, works comfortably across stacks and domains, and uses AI to ramp on hard new problems fast. Key responsibilities Build, deploy, and maintain LLM-agent workflows that accelerate chip development: debug triage, testbench and coverage work, log/waveform analysis, EDA script generation, and engineering knowledge retrieval Embed with hardware teams to find the highest-leverage pain points, then turn them into automated workflows with measurable adoption Design rigorous evals for agent performance on real silicon-engineering tasks - not proxy metrics - and use them to drive iteration Integrate agents with our internal infrastructure: simulation and emulation flows, CI/regression systems, lab equipment, and issue tracking, via tool-calling and MCP Champion adoption: documentation, training, and fast feedback loops with the engineers who use what you build You may be a good fit if you have A track record of solving hard problems across stacks and domains - you enjoy being dropped into unfamiliar territory and figuring it out Comfort with Python and code: you can read it, modify it, debug it, and direct AI to write it well. We do not care whether you write code from scratch - we care whether you ship things that work Fluency using AI to learn and ramp on new problems - agentic coding tools, deep research, and frontier models are how you work, not an add-on Hands-on experience building and shipping LLM-based agents or AI tooling that real users depend on (beyond calling an API - context engineering, tool integration, orchestration, failure analysis) An eval-driven mindset: you measure whether AI systems actually work before scaling them High agency and comfort with ambiguity - you can find the problem, not just solve the stated one Interest in chip development and the ability to ramp quickly on a deeply technical domain. Hardware experience is a real plus, but not required - you will be willing and able to learn quickly Strong candidates may also have experience with Chip development in any form (the strongest plus): RTL/SystemVerilog, functional verification (UVM), DFT, physical design/STA, FPGA, emulation, or silicon bring-up and validation EDA tool flows and Tcl scripting; reading waveforms, logs, and regressions Fine-tuning or post-training (SFT, RLHF/DPO), RAG over proprietary technical data, or multi-agent orchestration Deep software engineering: C++ or Rust, developer-facing internal platforms, CI/CD at scale, or infrastructure (Docker, Slurm, Ray) Representative projects In your first 30 days, pick one hardware team's worst recurring pain, ship an agent for it, and prove adoption with usage data Build an agent that triages overnight regression failures, clusters them by root cause, and drafts bug reports with waveform and log evidence attached Wire Claude Code-style agents into our EDA and validation flows via MCP so engineers can drive simulations, queries, and lab equipment from natural language Create a retrieval system over our specs, design docs, and past debug history that cuts ramp time for new engineers Design an eval suite that measures agent performance on real verification and debug tasks, and use it to decide which workflows to automate next Prototype AlphaEvolve-style optimization loops that propose and automatically verify improvements to test programs or flow scripts Benefits Full medical, dental, and vision packages, with generous premium coverage Housing subsidy of $2,000/month for those living within walking distance of the office Daily lunch and dinner in our office Relocation support for those moving to San Jose (Santana Row) Unlimited compute budget subject to ROI justification How we're different Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed. Compensation Range: $150K - $275K
Vanteon Corporation
Pittsford, New York
Job Title: Digital Signal Processing Engineer (Sr. Levels) Department: Engineering Reports To: Director of Engineering Job Summary Vanteon is seeking applicants for a senior-level Digital Signal Processing Engineer position. The specific title will depend on the candidate's level of experience. The candidate will be responsible for modem and waveform development, digital signal processing, analysis & simulation for wireless systems, and RF system design. This is not an entry-level role; it requires advanced education and experience in communications and signal processing. Only qualified applicants will be considered for this position. Duties/Responsibilities The following is a list of expected duties for the position. It is not fully inclusive, and additional ones may be assigned as determined by management: Develop and implement algorithms for digital signal processing applications. Design and optimize digital filters, signal transforms, and other signal processing techniques. Analyze and interpret data to extract meaningful insights and develop actionable recommendations. Collaborate with cross-functional teams to integrate signal processing solutions into hardware or software systems. Conduct performance evaluation and optimization of signal processing algorithms on various platforms. Participate in the design and development of real-time signal processing systems. Troubleshoot and debug signal processing algorithms and systems to ensure optimal performance. Document design specifications, implementation details, and testing procedures. Provide technical guidance and support to other team members on signal processing-related issues. Conduct research and feasibility studies to explore new signal processing techniques and applications. Perform simulation and modeling of signal processing systems using specialized software tools. Required Specialized Skills/Knowledge Technical experience with: Digital communications and RF systems experience, including modem and link margin analysis Hardware and FPGA development experience (VHDL or Verilog) Digital filter techniques, Fourier Analysis, and tracking loops RF circuit design (cascades, mixing, amplifiers, filtering, oscillators, etc.) Nonlinear circuits, measurements, and simulation techniques Experience with relevant software tools, including: MATLAB/Simulink, plus DSP Systems Toolbox (required) MathWorks HDL Coder (required) Mentor Graphics ModelSim LabVIEW TI Code Composer Studio Xilinx Vivado and Intel Quartus Prime Experience using signal generators, network analyzers, spectrum analyzers, and logic analyzers Knowledge of common wireless standards and techniques Technical project leadership skills Strong verbal and written communication skills Education and Experience PhD. (or be in candidacy) in Communications and Signal Processing 5+ years of experience in digital signal processing design (or related academic research) Other Requirements Training and regular duties require a regular in-office presence. Hybrid/flexible scheduling is available based on business needs. Although minimal, some circumstances may require a weekly commitment above 40 hours or hours outside of regular business hours. Minimal travel may be required for client visits and tradeshows. Physical Requirements Prolonged periods sitting at a desk and working on a computer Be able to perform low to moderately strenuous physical activities requiring standing, walking, and reaching. Must be able to lift up to 15 pounds at times. The physical demands described above represent those that an employee must meet to perform the essential functions of this job successfully. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Equal Opportunity Employer Vanteon Corporation provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Compensation Range Although a candidate's compensation will depend heavily on their skills and experience, the anticipated compensation range for this position is $150,000 to $175,000, plus a competitive benefits package. The position is eligible for a variety of bonuses, including client referrals, employee referrals, publications, and extra effort. Relocation assistance may be available for well-qualified candidates. Applying Applicants should submit a resume and cover letter to Ronnie Ells - . Please note that all offers for hire are contingent on passing e-verification and background and drug screenings. In addition, you must be able to work with ITAR and CUI data. Only applicants who meet the minimum education requirement and have the necessary specialized skills will be contacted for further consideration. About Vanteon Vanteon LLC, a wholly owned subsidiary of Performance Drone Works, is an engineering services company specializing in wireless and RF design. We offer Analog, Digital, RF, Hardware, Software, and FPGA design services. At Vanteon, we develop products for companies that range from small start-ups to large Fortune 50 companies. The designs we create include Software-Defined Radio (SDR), Wi-Fi, Bluetooth, etc., for markets such as telecom (3G, 4G, 5G cellular), Aviation, Medical, Government, Industrial, and more. Types of projects include handheld devices, wearables, RADAR, signal/spectrum analyzers, and wireless widgets of all kinds. Vanteon has been voted one of the "Best Companies to Work for in NY" for 15 years running; most times, we've ranked in the top 5.
Job Title: Digital Signal Processing Engineer (Sr. Levels) Department: Engineering Reports To: Director of Engineering Job Summary Vanteon is seeking applicants for a senior-level Digital Signal Processing Engineer position. The specific title will depend on the candidate's level of experience. The candidate will be responsible for modem and waveform development, digital signal processing, analysis & simulation for wireless systems, and RF system design. This is not an entry-level role; it requires advanced education and experience in communications and signal processing. Only qualified applicants will be considered for this position. Duties/Responsibilities The following is a list of expected duties for the position. It is not fully inclusive, and additional ones may be assigned as determined by management: Develop and implement algorithms for digital signal processing applications. Design and optimize digital filters, signal transforms, and other signal processing techniques. Analyze and interpret data to extract meaningful insights and develop actionable recommendations. Collaborate with cross-functional teams to integrate signal processing solutions into hardware or software systems. Conduct performance evaluation and optimization of signal processing algorithms on various platforms. Participate in the design and development of real-time signal processing systems. Troubleshoot and debug signal processing algorithms and systems to ensure optimal performance. Document design specifications, implementation details, and testing procedures. Provide technical guidance and support to other team members on signal processing-related issues. Conduct research and feasibility studies to explore new signal processing techniques and applications. Perform simulation and modeling of signal processing systems using specialized software tools. Required Specialized Skills/Knowledge Technical experience with: Digital communications and RF systems experience, including modem and link margin analysis Hardware and FPGA development experience (VHDL or Verilog) Digital filter techniques, Fourier Analysis, and tracking loops RF circuit design (cascades, mixing, amplifiers, filtering, oscillators, etc.) Nonlinear circuits, measurements, and simulation techniques Experience with relevant software tools, including: MATLAB/Simulink, plus DSP Systems Toolbox (required) MathWorks HDL Coder (required) Mentor Graphics ModelSim LabVIEW TI Code Composer Studio Xilinx Vivado and Intel Quartus Prime Experience using signal generators, network analyzers, spectrum analyzers, and logic analyzers Knowledge of common wireless standards and techniques Technical project leadership skills Strong verbal and written communication skills Education and Experience PhD. (or be in candidacy) in Communications and Signal Processing 5+ years of experience in digital signal processing design (or related academic research) Other Requirements Training and regular duties require a regular in-office presence. Hybrid/flexible scheduling is available based on business needs. Although minimal, some circumstances may require a weekly commitment above 40 hours or hours outside of regular business hours. Minimal travel may be required for client visits and tradeshows. Physical Requirements Prolonged periods sitting at a desk and working on a computer Be able to perform low to moderately strenuous physical activities requiring standing, walking, and reaching. Must be able to lift up to 15 pounds at times. The physical demands described above represent those that an employee must meet to perform the essential functions of this job successfully. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Equal Opportunity Employer Vanteon Corporation provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Compensation Range Although a candidate's compensation will depend heavily on their skills and experience, the anticipated compensation range for this position is $150,000 to $175,000, plus a competitive benefits package. The position is eligible for a variety of bonuses, including client referrals, employee referrals, publications, and extra effort. Relocation assistance may be available for well-qualified candidates. Applying Applicants should submit a resume and cover letter to Ronnie Ells - . Please note that all offers for hire are contingent on passing e-verification and background and drug screenings. In addition, you must be able to work with ITAR and CUI data. Only applicants who meet the minimum education requirement and have the necessary specialized skills will be contacted for further consideration. About Vanteon Vanteon LLC, a wholly owned subsidiary of Performance Drone Works, is an engineering services company specializing in wireless and RF design. We offer Analog, Digital, RF, Hardware, Software, and FPGA design services. At Vanteon, we develop products for companies that range from small start-ups to large Fortune 50 companies. The designs we create include Software-Defined Radio (SDR), Wi-Fi, Bluetooth, etc., for markets such as telecom (3G, 4G, 5G cellular), Aviation, Medical, Government, Industrial, and more. Types of projects include handheld devices, wearables, RADAR, signal/spectrum analyzers, and wireless widgets of all kinds. Vanteon has been voted one of the "Best Companies to Work for in NY" for 15 years running; most times, we've ranked in the top 5.