Engineer 2 Jobs

Principal AI/ML Engineer, Validation Strategy & Test Architecture — 2 Locations. Apply via Workday.

Principal Analog Design Engineer — Mixed-Signal PHY (Clocking / High-Speed I/O) — 2 Locations. Apply via Workday.

DRAM Architect – Principal Engineer | MTS - TPG — 2 Locations. Apply via Workday.

Staff SoC DFT Engineer, HBM — 2 Locations. Apply via Workday.

Staff Process Engineer, Dry Etch — 2 Locations. Apply via Workday.

Front End Central Product Integration Engineer – Test & Product Yield Integration (Senior / Staff / Principal) — 2 Locations. Apply via Workday.

Staff/Principal Full-Stack AI Engineer, Robotic and Digital Twin — 2 Locations. Apply via Workday.

SoC Static Timing Analysis (STA) Engineer, HBM — 2 Locations. Apply via Workday.

Sr. Principal Software Engineer - Cardiac Ablation Solutions — 2 Locations. Apply via Workday.

Sr. Software Engineer - Signals & Algorithm Interfaces (Python/C++) — 2 Locations. Apply via Workday.

Sr. Software Engineer - UI/UX (Qt/QML) — 2 Locations. Apply via Workday.

Sr. Network Engineer 4, Design & Architecture — 2 Locations. Apply via Workday.

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As a Security Engineer focused on Product Security and AI, you will help secure Dialpad’s applications, platforms, and AI-powered capabilities throughout the product lifecycle. You will partner closely with software engineers, infrastructure teams, product managers, and AI practitioners to identify risks early, design

NK Securities Research is a leading financial firm that leverages cutting-edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High-Frequency Trading (HFT) across different asset classes. Role Overview We’re looking for engineers who can take AI work beyond experiments and make it hold up in production. You’ll work closely with quant researchers and infra engineers to build AI systems that actually get used improving research speed and internal tooling without slowing down the core stack. We value engineers who think about trade-offs, test what they build, and care about how things run in production. What You’ll Build Production AI Ship models that meet defined latency and reliability expectation Add monitoring, rollback, and guardrails before anything goes live Optimise inference across CPU/GPU environments when it matters Integration into Real Systems Plug AI into data-heavy workflows without hurting performance Work within existing low-latency architecture instead of fighting it Profile and remove bottlenecks rather than guessing AI for Engineers & Researchers Build tools that genuinely speed up research and development Improve code understanding, review workflows, and internal knowledge retrieval Keep systems auditable and predictable LLM & Retrieval Systems Implement structured RAG and embedding pipelines with validation in place Create safe integration layers between models and internal systems Performance & Standards Track latency, drift, and stability — not just accuracy Build observability into everything you ship Help raise the bar for how AI is engineered here What We’re Looking For Strong Python fundamentals Clear thinking around system design and performance trade-offs Experience deploying AI systems in production (1–5 years is typical) Familiarity with transformers, embeddings, or LLM deployment Nice to have: Exposure to C++ / Rust / Go E

SmartBear delivers application integrity for modern tech stacks, ensuring continuous, measurable assurance that software just works as intended with governance to operate at AI speed and scale. SmartBear offers deep test automation, API lifecycle management, and observability capabilities. With integrations across the SDLC, it sets a new quality standard for application delivery teams. SmartBear is trusted by developers, testers, and software engineers across 32,000 organizations, including 75% of the largest financial institutions and industry leaders such as Adobe, JetBlue, and Microsoft. SmartBear’s open source tools are downloaded more than 100 million times a month and have earned over 30,000 GitHub stars from the developer community. With its best-loved brands, including Swagger, TestComplete, Reflect, QMetry, Zephyr, and more, SmartBear meets customers where they are to make our technology-driven world a better place. Learn more at www.smartbear.com , or follow us on LinkedIn , X , and Reddit . At SmartBear, you will be part of a dynamic team solving one of the most critical challenges facing modern businesses: ensuring the integrity of software in an AI-driven world. Whether you are working directly with customers, driving go to market strategies, supporting operations, building products, or enabling teams, your contributions help shape the future of software quality for organizations worldwide. Join us in our mission. Summary Support enterprise customers as they adopt BugSnag to improve application stability and software quality. Partner with Sales to deliver technical demonstrations, proof of concepts, and customer evaluations. Build expertise in observability, troubleshooting, and customer-facing solution engineering while growing your technical career. Product Introduction BugSnag helps engineering teams proactively monitor application stability by identifying, prioritizing, and resolving software errors across web,