Signal Integrity Hardware Engineer Jobs

The Agent Research and Tooling team, part of MongoDB's AI Builder Experience organization, owns the platform layer around agents: how teams author, distribute, evaluate, monitor, and improve agent skills and agent behavior. We are hiring a software engineer to build and maintain the tooling, evaluation systems, and quality gates behind MongoDB's agent skills. This is a software engineering role at the intersection of developer tooling, applied AI, and software quality. You will take loosely defined agent and tooling problems, break them into workable plans, and ship durable internal systems: command-line tools, reusable libraries, evaluation harnesses, and CI workflows. This role is open to remote work in Canada or can be based out of any of our Canada offices. What you'll do Build and maintain agent skills and the infrastructure to validate, evaluate, publish, and maintain them Design evaluation datasets and workflows that compare agent behavior against a baseline and produce actionable quality signals Build agent metrics and observability: skill selection and routing, success and failure outcomes, tool calls, latency, and token usage Design safety and quality gates for agent-authored content: rule packs, static analysis, confidence thresholds, structured verdicts, and bounded suppression Create CLIs, libraries, and MCP integrations that other repositories adopt and that run in local development and CI Integrate tooling into GitHub Actions and other CI workflows, including secrets, annotations, exit codes, and artifacts Build code-generation quality checks, such as anti-pattern catalogs and linting for AI-generated MongoDB code Investigate real failures such as nondeterministic results, false positives, and unsafe generated guidance, and turn them into reusable improvements Collaborate with engineers, security partners, and product teams; communicate trade-offs, risks, and ownership across teams Examples of the problems you'll solve How can tests verify an agent to

The Agent Research and Tooling team, part of MongoDB's AI Builder Experience organization, owns the platform layer around agents: how teams author, distribute, evaluate, monitor, and improve agent skills and agent behavior. We are hiring a software engineer to build and maintain the tooling, evaluation systems, and quality gates behind MongoDB's agent skills. This is a software engineering role at the intersection of developer tooling, applied AI, and software quality. You will take loosely defined agent and tooling problems, break them into workable plans, and ship durable internal systems: command-line tools, reusable libraries, evaluation harnesses, and CI workflows. This role is open to remote work in the US or can be based out of any of our US offices. What you'll do Build and maintain agent skills and the infrastructure to validate, evaluate, publish, and maintain them Design evaluation datasets and workflows that compare agent behavior against a baseline and produce actionable quality signals Build agent metrics and observability: skill selection and routing, success and failure outcomes, tool calls, latency, and token usage Design safety and quality gates for agent-authored content: rule packs, static analysis, confidence thresholds, structured verdicts, and bounded suppression Create CLIs, libraries, and MCP integrations that other repositories adopt and that run in local development and CI Integrate tooling into GitHub Actions and other CI workflows, including secrets, annotations, exit codes, and artifacts Build code-generation quality checks, such as anti-pattern catalogs and linting for AI-generated MongoDB code Investigate real failures such as nondeterministic results, false positives, and unsafe generated guidance, and turn them into reusable improvements Collaborate with engineers, security partners, and product teams; communicate trade-offs, risks, and ownership across teams Examples of the problems you'll solve How can tests verify an agent tool's

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. On the ML Fraud team, you’ll build and improve machine learning systems that make real-time transaction decisions, protecting consumers and merchants while balancing fraud loss, customer experience, and conversion. You’ll work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring as fraud patterns evolve. What you’ll do - You will lead development of new fraud prediction models using a mix of approaches for tabular, graph, and behavioral data - You will build and scale feature pipelines and training datasets from proprietary and third-party signals, partnering with data and platform teams when needed. - You will prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls. - You productionize models: integrate into batch and/or real-time decision systems, and improve reliability, latency, and operational robustness. - You will instrument and monitor model and data health, and help define retraining/backtesting workflows as fraud patterns evolve. - Identify and implement foundational improvements to how the team builds models. - You will collaborate across Engineering, Fraud Analytics, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences. What we look for - You have 6+ years experience researching, training, tuning and launching ML models at scale. Relevant PhD can count for up to 2 years of experience. - Track record of delivering high impact machine learning models in a low latency live setting - Strong Python skil

Opportunity Overview: We’re looking for a senior-level automation engineer who will help raise the bar on release quality, environment reliability, and change safety across Cohere’s platform. You’ll partner closely with Product, Engineering, Platform, and SRE to build scalable automation, guardrails, and validation systems that reduce production risk while increasing delivery velocity. This is not a “test scripts only” role. You’ll shape automation strategy, embed quality into the SDLC, and help define how changes move safely from dev → staging → UAT → prod in a fast-moving healthcare platform. You’ll help define how quality scales as Cohere grows. This role has real influence over release safety, platform reliability, and how engineering teams ship software in a regulated, high-impact domain. You won’t just test features — you’ll shape how Cohere delivers them safely to production. What you’ll do: Own and evolve Cohere’s end-to-end test automation strategy across UI, API, config changes, and critical workflows Design and maintain scalable E2E automation frameworks for multi-tenant, payer-specific workflows Build automated validation for deployment guardrails, release readiness, and production change safety Partner with Platform/DevOps to integrate automation into CI/CD pipelines and deployment workflows Create automated coverage for high-risk paths (authorization flows, partner integrations, file pipelines, feature flags, config changes) Drive test reliability, flake reduction, and actionable failure signals Define and enforce quality gates for prod releases, blue/green and canary deployments, and config changes Collaborate with Product and Engineering to ensure business outcomes are testable, measurable, and observable Improve test data management and environment stability to enable reliable automation at scale Mentor engineers on testability, automation best practices, and quality-first development Partner with SRE and Security to ensure production readines

Opportunity Overview: We’re looking for a senior-level automation engineer who will help raise the bar on release quality, environment reliability, and change safety across Cohere’s platform. You’ll partner closely with Product, Engineering, Platform, and SRE to build scalable automation, guardrails, and validation systems that reduce production risk while increasing delivery velocity. This is not a “test scripts only” role. You’ll shape automation strategy, embed quality into the SDLC, and help define how changes move safely from dev → staging → UAT → prod in a fast-moving healthcare platform. You’ll help define how quality scales as Cohere grows. This role has real influence over release safety, platform reliability, and how engineering teams ship software in a regulated, high-impact domain. You won’t just test features — you’ll shape how Cohere delivers them safely to production. What you’ll do: Own and evolve Cohere’s end-to-end test automation strategy across UI, API, config changes, and critical workflows Design and maintain scalable E2E automation frameworks for multi-tenant, payer-specific workflows Build automated validation for deployment guardrails, release readiness, and production change safety Partner with Platform/DevOps to integrate automation into CI/CD pipelines and deployment workflows Create automated coverage for high-risk paths (authorization flows, partner integrations, file pipelines, feature flags, config changes) Drive test reliability, flake reduction, and actionable failure signals Define and enforce quality gates for prod releases, blue/green and canary deployments, and config changes Collaborate with Product and Engineering to ensure business outcomes are testable, measurable, and observable Improve test data management and environment stability to enable reliable automation at scale Mentor engineers on testability, automation best practices, and quality-first development Partner with SRE and Security to ensure production readines

About the Team The Core Models team helps shape how OpenAI’s frontier models are built, measured, and launched. We work across Research, Engineering, Model Design, Data Science, and Product to turn advances in model capabilities into reliable, useful experiences for people. Our scope includes model planning and launches as well as building data flywheels, evaluations and measurement systems to ensure our models have strong capabilities and behavior. About the Role As a Product Manager for the Core Models team, you'll be at the forefront of defining and guiding the future of how our AI models work in real-world applications. You will connect user needs to model and systems decisions: how prompts are understood; how information is aggregated and made useful for training and evaluation data; and how capabilities move from research prototypes into the mainline model and launch stack. You will operate comfortably across research, infrastructure, and consumer product surfaces, creating clarity where ownership and technical boundaries are still emerging. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Translate user and product goals into clear model requirements, system architecture choices, and research priorities across query understanding, indexing, retrieval, ranking, tool boundaries, data, training, inference, and evaluation. Build closed learning loops that turn product usage, explicit feedback, and other user signals into datasets, evaluations, experiments, training priorities, and launch decisions. Define success across offline evaluations and online product metrics, balancing model quality, usefulness, latency, safety, reliability, and cost. Partner closely with post-training research, applied product engineering, Model Design, and Data Science to integrate capabilities into the mainline model stack. Create reusable platforms and operatin

About the Team The Human Data team at OpenAI is responsible for identifying and mitigating risks in advanced AI systems by designing evaluations, surfacing vulnerabilities, and collaborating closely with researchers to strengthen model reliability and public trust. About the Role As a Research Program Manager, you will lead initiatives that test the safety and robustness of OpenAI’s models through creative experimentation and structured evaluation. You’ll coordinate efforts across research and engineering teams to transform ambiguous risks into concrete research programs and influence future model development and deployment. We’re looking for people who are technically savvy, comfortable with ambiguity, and excited about shaping the future of safe AI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead programs that explore unexpected model behaviors and identify failure modes. Translate vague or emergent risk signals into clear priorities and actionable research plans. Design and run creative evaluations, experiments, and red-teaming campaigns. Collaborate with research, product, and deployment teams to integrate findings into model training and deployment cycles. Develop repeatable systems for tracking model performance and understanding emerging behavior patterns. You might thrive in this role if you: Have strong experience in technical program management, with excellent organizational and communication skills. Are familiar with large language models, prompt engineering, or model evaluation techniques. Are comfortable managing fast-paced, high-uncertainty projects and shaping them from the ground up. Are creative and resourceful in devising new methods for testing model behavior and performance. Can effectively coordinate across technical and non-technical stakeholders to drive alignment and execution. About OpenAI OpenAI is an AI resear

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Opportunity The Global Demand Center is building a signal-led demand engine — one that uses account, audience, behavioral, intent, and market signals to identify where we should focus and how we should activate. The GrowthX team, within the Global Demand Center, is taking the lead on this initiative and looking for a new Signal & Growth Insights Manager. The Signal & Growth Insights Manager will help interpret signal, audience, account, campaign, and growth-motion data to surface insights, measure performance, and recommend opportunities for action. This role will support GrowthX strategy by helping the team understand what signals are emerging, which audiences are responding, which motions are working, and where we should refine targeting, activation, or follow-up. The ideal candidate combines analytical capability, B2B demand understanding, curiosity about modern GTM platforms, and strong business judgment. They can build reports, interpret patterns, surface insights, and make practical recommendations that help GrowthX and its partners improve performance. What You’ll Do Interpret signal and audience performance Analyze outputs from GrowthX tools and data sources to identify patterns across accounts, audiences, segments, regions, products, and growth motions. Use platform data and reporting from tools such as Common Room, Clay, 6sense, Salesforce, Marketo, and related GTM systems to understand account and audience behavior. Surface insi

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is looking for a Mixed Signal IC Layout Design Engineer role involves full-custom physical layout of analog and mixed-signal integrated circuits, turning schematics into manufacturable layouts that meet performance, power, area, and reliability targets in advanced FinFET processes. The role focuses on high quality, high-speed analog/mixed-signal blocks and their integration into larger SoCs. This role is remote, based out of any in the United States. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who you are An experienced analog/mixed-signal IC layout engineer with strong full-custom layout background on high-speed blocks (PLLs, VCOs, ADCs, DACs, LDOs, comparators, clock generators, high-speed I/Os). Proficient with Synopsys Custom Compiler or Cadence Virtuoso for custom layout, and Synopsys ICV or Siemens Calibre for physical verification (DRC, LVS, ERC, DFM, Antenna). Deep experience in CMOS/FinFET nodes (ideally TSMC or Samsung 12nm–2nm) with delivered silicon and a strong grasp of EM/IR, ESD, and latch-up in mixed-signal layouts. Detail-oriented and organized, able to own complex blocks independently and collaborate effectively with cir

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Interested in changing the landscape of artificial intelligence workloads? Join our team where we are building next-generation, high-bandwidth memory products. In Micron's High Bandwidth Memory Architecture organization, we partner closely with customers to deliver memory solutions purpose-built for emerging AI systems and applications. As a Senior Engineer, Principal Engineer, or Member of Technical Staff, Design Architect in the Next-generation HBM Architecture Team, you will design, simulate, analyze, and optimize the architecture of 3D-stacked, high-performance memories. Apply your knowledge to explore trade-offs in 3D-stacked logic and memory designs in close collaboration with peer architecture and design teams. Your responsibilities will include definition of, evaluation of, and specification of circuit implementations, technology requirements, thermal performance improvements, power delivery architectures, and on- and off-chip interfaces. Responsibilities: Design, optimize, and simulate critical analog and/or mixed-signal circuits. Architect and design power delivery for high-performance, stacked memories. Analyze, specify, and prototype on-/off-chip interfaces. Perform timing, area, power, and complexity analysis for high-performance, low-power circuits. Define architectures for improved thermal management. Conduct pathfinding activities for future-generation stacked-memory products. Com

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. What if the work you did everyday could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, can make a difference. Surrounded by extraordinary people, inspiring leaders, and world-changing projects, you will do more and become more than you ever thought possible. lllumina’s Primary Analysis team specializes in designing algorithms and developing software to detect genomic data from signals contained within images. Algorithmic challenges in this area include compensating for signal impairments introduced by optical, chemical, and mechanical systems. Implementation challenges include managing parallel tasks, optimizing memory accesses, and improving the speed and accuracy of genomic base calling. We develop methods to address these chal

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Memory Systems Engineering team develops the digital and mixed-signal foundation that enables Micron's High Bandwidth Memory (HBM) products. The team works across architecture, PHY, design verification, DFT, and silicon validation functions to deliver innovative memory solutions that achieve demanding performance, power, and reliability targets. In this role, y ou'll receive mentorship from expert engineers while building expertise in sophisticated memory technologies. You will also contribute to the definition, implementation, integration, and validation of HBM base-die digital subsystems. You will collaborate with cross-disciplinary engineering groups to develop robust RTL solutions, support verification activities, and help ensure successful first-pass silicon execution. This position provides an opportunity to gain broad exposure to memory system design, silicon development methodologies, and AI-enabled engineering workflows. Responsibilities Define and implement digital micro-architecture for HBM base-die subsystems, including channel support logic, boot and initialization sequencing, training orchestration, configuration and status registers, telemetry, performance monitoring, and reliability features. Translate system requirements into timing, power, and area objectives while partnering with physical layer and system architects; develop and maintain interface specifications for bus protocols, clock-domain crossings, and reset architectures. Develop, integra

About the Team DoorDash Labs is DoorDash's autonomous delivery group, building the robots and hardware that move goods without a driver. The Hardware team designs the electronics at the core of these systems — digital and mixed-signal control boards, power and motor-control electronics, embedded firmware, and the test and integration benches that prove the whole system works. We're building out an experienced and diverse set of electrical engineers to increase our velocity, bandwidth, and operations. About the Role You'll own mixed-signal and analog design — a key capability gap for the team — and raise the analog bar across our control hardware, from instrumentation and telemetry to sensor interfaces and precision analog. You will report into the Director, Electrical Engineering on our Hardware team in our DoorDash Labs organization. Our offices are open, and depending on the role this position is hybrid or fully onsite — expect to be fully onsite when needed. You're excited about this opportunity because you will… Design instrumentation and telemetry-measurement circuits, precision current sources, and high-quality amplifiers Design circuits around ADCs, DACs, and signal conditioning Design sensor interfaces — temperature, light, audio — and LED drivers Own power sequencing and EMC-aware analog design Bring analog rigor to design reviews and help set analog/EMC design practices We're excited about you because… Strong mixed-signal and precision-analog design background Instrumentation, telemetry, current-source, and power-amplifier design ADC/DAC and signal-conditioning design; sensor front-ends (temp/light/audio) and LED drivers EMC/EMI-aware design and mitigation experience You characterize analog performance in the lab (noise, bandwidth, accuracy) Compensation The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work lo

What We’re Looking For: We’re looking for great analog and mixed signal circuit designers to join us in contributing to the design of our production optical PHY. Ideal Background: Ideal candidates will have: Deep knowledge, hands on experience and multiple successful tapeouts with advanced node analog and mixed signal circuit designs Deep knowledge, hands on experience and multiple successful tapeouts of high speed communication link Tx and/or Rx circuits Nice to Have: Understanding of PHYs and how analog components and circuits integrated into the broader PHY system Understanding and hands-on experience with clock-forwarded links, especially clock-forwarded optical links Design and successful tapeout experience with optical links, either on Tx or Rx sides Design and successful tapeout experience with AMS circuits for optical components

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Description: As a Mixed-Signal Design Engineer in Micron’s Pathfinding Design Team, you will play a key role in crafting next-generation memory technologies. This position involves contributing to defining, developing, and analyzing high-speed logics to operate the memory. These paths span from the memory array to the interface block for memory technologies, including DRAM and emerging memories. You will work on novel concept development, circuit simulation, optimization, and floor planning to enable groundbreaking memory solutions! Responsibilities: Provide technical direction and design implementation for a memory control circuits (both of digital and analog) from the memory array to the interface block. Collaborate closely with physical design teams to ensure timing closure, CDC robustness, and power intent alignment. Demonstrated experience working with custom mixed-signal IC build and development for volatile or nonvolatile memory technology. Experience with modeling and simulation of ICs using HSPICE/finesim. Minimum Qualifications: Bachelor’s or master’s degree in electrical engineering, Computer Engineering, or related field. 7&#43; years of experience in custom mixed-signal circuit design. Proficiency with UNIX and CADENCE design environment (Simulation, Schematic entry, SPF extraction) </