Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role As a Senior Industrial Designer at Verkada, you’ll design and develop cameras, access control systems, sensors, and other connected devices alongside our growing team of designers and hardware engineers. You will provide & guide creative vision from initial concept through to mass production. You’ll maintain and evolve Verkada’s product design language by creating solutions that emulate our core brand principles, reduce product complexity, and deliver premium experiences for our customers. You’ll make a big impact — your designs will be a part of Verkada’s quickly expanding portfolio of products. What You'll Do Help create the visual and physical language of our brand through the design of our hardware. Provide creative guidance to reinforce a consistent brand voice across a growing product portfolio. Provide creative vision by
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1671 About the Role We are seeking a Senior Signal Integrity Engineer to develop, validate, and optimize high-speed signaling solutions across blade- and rack-level architectures for advanced compute platforms. This role sits at the intersection of silicon, package, interconnect, board, and system design , with a strong emphasis on hands-on measurement, simulation correlation, and cross-functional technical communication. Key Responsibilities End-to-end signal integrity analysis for blade- and rack-level system architectures. Analyze and optimize high-speed and low-speed I/O interfaces, including PCIe Gen4/5/6, Ethernet, DDR, SerDes, SPI , I2C, etc . and related interconnects. Perform time-domain and frequency-domain simulations using tools such as Ansys HFSS, Keysight ADS, Cadence Sigrity, CST, SPICE , or similar. Support hands-on lab validation using VNA, TDR, BERT, and high-speed oscilloscopes . Correlate simulation results with lab measurements to identify margin gaps, debug issues, and improve design methodology. Collaborate with silicon, package, board, connector, cable, and system design teams to optimize I/O channel performance. Work with interconnect vendors and ODMs to guide board layout, stack-ups, routing rules, and system design decisions. Review schematics, layouts, simulation results, and validation data for blade, backplane, and rack-level hardware. Prepare and communicate clear validation reports, measurement summaries, debug findings, and technical recommendations to internal teams, vendors, and senior technical stakeholders. Required Qualifications Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field . Strong experience in signal integrity for high-speed digital systems. Hands-on measurement expertise using VNAs, TDRs, BERTs, and high-speed oscilloscopes . Experience measuring and analyzing S-parameters, impedance profiles, eye diagrams, jitter, timing margins, insertion loss, return loss, and cro
Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About The Role Ready to dive into the world of smart tech and help build the future of IoT? As an Industrial Placement on our Technical Support Engineering team, you won't be grabbing coffee or shadowing others. Our interns are at the forefront of our team, tackling real-world challenges alongside our full-time engineers. Based onsite in our London office, you'll work with cutting-edge, cloud-managed IoT technology, helping our enterprise clients with everything from troubleshooting to system design. This industrial placement is your chance to make a real impact, build valuable technical skills, and jumpstart your career in a dynamic, high-tech environment. What You'll Do Troubleshoot and Innovate: Solve complex network, hardware, and software issues for the Verkada platform Be an Expert: Provide customers with best practices for syste
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Product at Baseten is a nascent function. Our company today has a strong engineering culture, is heavily customer obsessed, and moves fast. We're building the product function now, and you'd be one of the first people who will help define it. You'll work directly with our founders and with some of the best systems and infrastructure engineers in the world, and you'll set the standard for building great AI infrastructure. PMs at Baseten don't sit above engineers. You earn ownership by being technical, finding the truth in front of customers, building great cross-functional relationships, and shipping great product experiences. Getting a model into production still takes real expertise: choosing a serving engine, sizing hardware, tuning it, wiring it into an app. We want a developer to go from "it runs on my laptop" to "it's serving production traffic" in minutes, on their own. You'll own the entire experience a developer touches to deploy and iterate: the CLI and SDKs, the console, onboarding, model discovery, deployment configuration, Truss, and the increasingly agent-driven ways developers build. Your job is to make Baseten synonymous with great DevEx and make it effortless for far more developers to self-serve deploy models on Baseten than can today. This role fits someone who gets technical by instinct and does whatever it takes to ship for customers, not only strategy, UX, or docs. You'll define the design s
Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Responsibilities : Develop and optimize unit processes to meet the yield and quality requirements of advanced NAND part type Quantify benefits of innovative process and/or equipment solutions to enable early experimentation and adoption for process margin improvement Prioritize within Singapore based manufacturing Wet Etch team on the key technology issues that need TD breakthroughs. Integrate and troubleshoot processes as part of cross-functional teams driving yield and quality improvement Participate with Boise TD Wet Etch peers on technology choices for the upcoming nodes and able to translate future technology device needs into clear process requirements Process development will include performing fundamental research, hardware evaluations, as well as testing processes for novel applications and generating intellectual property relevant to Micron. Initiate and manage experiments to widen process margins as well as to test out manufacturability of next node solutions </p
P-1428 At Databricks, we run the world's largest AI platform. We believe the next breakthroughs will come from models trained on domain-specific enterprise data, not from bigger general-purpose models alone. That's why we built AI Runtime , a serverless product that makes GPU training of any size feel simple, so companies can train their own models the way frontier labs do. Customers across industries already use it to train models on governed data, from automotive AI at Rivian to Merck's TEDDY foundation models for single-cell biology and drug discovery, all the way to agents like KARL from Databricks AI Research. It takes a lot of engineering to make that work, and we've written about it on our blog: how we keep GPUs reliable , make training fault-tolerant , and speed up fine-tuning with fused kernels and smart sequence packing. As a Senior Software Engineer, you'll work on the systems behind all of this, solving hard technical problems and helping shape how AI Runtime evolves. The impact you will have: Build core parts of AI Runtime and contribute to Databricks' technical direction in AI training infrastructure. Develop reliability and observability features for a fleet that keeps growing in scale and complexity. Improve AI Runtime's developer experience, so the largest training jobs feel as simple as a first experiment. Help prepare AI Runtime for new GPU generations and workload types. Take on hard multi-node training problems, from orchestration and GPU scheduling to data loading and checkpointing. Make training faster and cheaper by raising GPU efficiency across model architectures and hardware generations. Work with research, product, and customers on what we build next and own features from design through production. Champion engineering excellence, raise the bar, and help the engineers around you grow. What we look for: 5+ years in large-scale distributed systems, with experience in GPU training, high-performance computing, or ML systems. Experience traini
The MongoDB Cloud Services Team is a diverse group of contributors working together to help our users manage MongoDB at global scale. The Cloud Team is responsible for MongoDB Atlas: our database as a service offering, and fastest growing product, which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes. The Backup Team delivers essential infrastructure to help our customers in their hour of need - providing the ability to quickly restore a massive, distributed database to any point in time at the click of a button. The Backup Team’s mission is to make MongoDB backup more reliable, faster, and also cheaper. This team is responsible for the Backup Agent (Go), the extensive server-side infrastructure (Java) which manages 100s of TB of data and processes billions of operations per day, and the user interface (Javascript) that customers use to manage their backups. Common project themes are performance, scaling, and ease of use. We are looking to speak to candidates who are based in New York for our hybrid working model. We're looking for someone who is Skilled at writing large-scale, distributed backend systems in a compiled language (Java, C#, Go, etc.) Fond of chasing down tough problems in a distributed systems environment Cool under pressure - has wrangled production crises, and secretly finds this a little fun Experienced with Linux, and able to correlate application performance problems with underlying hardware limits Comfortable working across the stack of a modern web application Always striving to expand their knowledge Curious, collaborative and intellectually honest Responsibilities Work closely with product teams, considering the user’s perspective while helping the team achieve success Collaborate with team members over best practices and core concepts Hold yourself accountable to your actions, maintaining the balance between accomplishing goals with research & development Own our
Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. The Senior Engineer supports advanced NAND dry etch process development by improving process windows, optimizing recipes, and troubleshooting yield/quality issues in collaboration with Process Integration and other module teams. The role requires strong experimental discipline (DOE/SPC), structured problem-solving, and the ability to translate technology requirements into production-worthy process improvements. Main Responsibilities Perform advanced dry etch process development tasks including process window analysis, recipe optimization, and tool continuous improvement evaluation for 3D NAND technology. Troubleshoot process issues as part of cross-functional teams to improve yield and quality and take ownership of assigned improvement opportunities. Collaborate with Process Integration and other process development areas (Wet Etch, CVD/Diffusion, Metals, Lithography, CMP) to develop and integrate solutions. Conduct root cause / failure mode analysis and work with vendors/suppliers where needed to close hardware/process gaps. Support pilot-line execution and process transfer activities as required by program needs. Other Responsibilities Drive
CPI Security is hiring a Product Specialist – Security, Video, Fire and Access Control Solutions , based at our office in Charlotte, North Carolina , to support the evaluation, testing, documentation, and rollout of intrusion, video, fire, and access control solutions for CPI’s residential and commercial product portfolio. CPI Security was founded in 1991 on an entrepreneurial spirit and a passion for helping and protecting others. What started as a company of 10 employees and 300 customers has grown into one of the nation’s top 10 largest security providers with over 750 employees. CPI has received many awards for excellence, including SDM Dealer of the Year, Central Station of the Year, and the Marvel Award. What You’ll Do: In this role, you will work with the Product Team, Operations, manufacturers, and service providers to test, validate, and support security products and related technologies. This position is hands-on and operational, focused on ensuring CPI delivers reliable, high-quality solutions for both residential and commercial customers. You will assist with product testing, beta programs, field feedback, documentation, training support, and issue resolution for intrusion, video, fire, and access control solutions, including connected technologies such as IP networking, cloud-based platforms, SaaS tools, IoT devices, video analytics, and cybersecurity-related product requirements. Essential Functions Test and evaluate new and existing intrusion, video, fire, and access control products, features, hardware, software, and integrations. Support beta programs, product pilots, and field trials with internal teams, manufacturers, and service providers. Document product performance, installation requirements, troubleshooting steps, known issues, and recommended best practices. Assist with technical documentation, solution diagrams, training materials, SOPs, and support resources. Work with Operations, QA, Technical Support, Sales, and customers to troubl
We are looking for an experienced and proactive Infrastructure Support Engineer to provide technical support and administration across our cloud and on-prem IT environments. This role combines infrastructure operations, technical support, and platform administration, delivering specialised technical assistance to our company employees, including quantitative researchers, developers, and business teams across the Americas (GMT-3 to GMT-6) or Asia-Pacific (GMT+7 to GMT+9) time zones. The ideal candidate will have hands-on experience with AWS infrastructure, enterprise platforms, and strong analytical and troubleshooting skills. The role requires excellent communication skills and the ability to support both technical and non-technical users in an international environment. WHAT YOU'LL BE DOING: Handle and respond to employee support requests through corporate communication and ticketing platforms Support, maintain, and troubleshoot cloud and on-premises infrastructure services, applications, and enterprise platforms Manage user accounts, access permissions, system configurations, and related administrative tasks Troubleshoot hardware, software, access, and basic connectivity issues including VPN, Wi-Fi, DNS, and related networking components Monitor infrastructure health, performance, and availability Conduct root cause analysis for recurring technical and infrastructure-related issues, and recommend improvements Contribute to automation, integration, and process improvement initiatives Maintain clear and accurate technical documentation, operational procedures, and user guides Work closely with cross-functional teams to design solutions and implement system improvements and upgrades Provide remote support for office and on-premises IT infrastructure, where applicable WHAT WE LOOK FOR IN YOU: Bachelor's degree in Computer Science, Information Technology, or related field At least 5 years of experience in IT Support and Engin
Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. Our robots are engineered for demanding outdoor environments, with a focus on real-world deployment and scalability. We are looking for a Model Evaluation Operator - AI Robotics (Contractor) to help evaluate, validate, and improve robotic AI systems through structured real-world testing workflows. This role is ideal for someone who enjoys hands-on technical work, operating robotic systems, and working closely with cutting-edge robotics technology. You will play a key role in conducting open-loop and closed-loop model evaluations, running model inference, and operating real robots to execute actions with precision. You will also collect high-quality operational data and performance feedback that directly contribute to improving our AI models. This is a highly hands-on role working with physical robotic systems in a lab/industrial environment. Responsibilities Execute closed-loop robotic model evaluation workflows in real-world environments. Perform robotic manipulation and operational tasks with high consistency and accuracy. Closely observe and document robot behavior, model performance, task failures, recovery behavior, and edge cases in detail. Maintain accurate evaluation logs, notes, annotations, and performance records for engineering review. Identify and report inconsistencies, failure patterns, safety risks, and unexpected robot behaviors. Follow structured workflows for setup, execution, reset, troubleshooting, and evaluation procedures. Capture, organize, and annotate operational data to support AI model training and validation. Run Linux command-line tools and basic scripts for workflow execution and system operation. Assist with hardware setup, calibration, and maintaining stable robot operation. Collaborate with engineers and researchers to improve model evaluation quality and operational efficiency
Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in large-scale Foundation models, VLMs, and VLAs to make autonomous driving as seamless as possible. The Opportunity Are you excited to drive our ML Performance Optimization initiatives and make our ML models that enable autonomous driving as fast and efficient as possible? You will get to work with SOTA accelerators, cutting-edge techniques in distributed training, quantization, distillation, and pruning, among other things, working closely with all the Autonomy teams within Zoox - Perception, Prediction, Planner, Simulation, Collision Avoidance, and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox. We build and operate the base layer of ML tools, model development, and serving systems that our applied research teams use for in- and off-vehicle ML use cases. You will work alongside a team of strong software engineers and act as a force multiplier for our internal customers. This team has many growth opportunities as we expand our robotaxi deployments and venture into new ML domains. If you want to learn more about our stack behind autonomous driving, please look here. If you want to learn more about our ML Infrastructure, here is one of our past talks at re:Invent. In this role, you will: Design, implement, and operate cutting-edge ML Training OR Inference performance optimization techniques to scale our VLM, VLA, and Foundational models and deploy them efficiently in our robotaxi. Collaborate closely with cross-functional teams, including ML researchers, software engineers, data engineers, and hardware
P-191 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping solve product and business challenges. The Data team also functions as a in-house, production "customer" that dogfoods Databricks and drives the future direction of the products. If you are interested in machine learning infrastructure, please apply to the Software Engineer Backend job opening here. The impact you will have: Shape the direction of some of our key data science areas for 2020 - usage forecasting, product analytics, user behavior and funnel analysis. Work closely with Product Management, Sales, Customer Success a
Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Responsibilities Develop and optimize unit processes to meet the yield and quality requirements of advanced NAND part type Quantify benefits of innovative process and/or equipment solutions to enable early experimentation and adoption for process margin improvement Prioritize within Singapore based manufacturing Wet Etch team on the key technology issues that need TD breakthroughs. Integrate and troubleshoot processes as part of cross-functional teams driving yield and quality improvement Participate with Boise TD peers on technology choices for the upcoming nodes and able to translate future technology device needs into clear process requirements Identify disruptive processes early on and work with manufacturing and Boise TD to identify viable path forward Process development will include performing fundamental research, hardware evaluations, as well as testing processes for novel applications and generating intellectual property relevant to Micron. Initiate and manage experiments to widen process margins as well as to test out manufacturability of next node solutions Identify process simplification opportunities and drive cross functional teams in implementation Incorporate best known m
About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Basic Qualifications Proficiency in C/C++ Familiar with Sigmastar / Ambarella platform Proficiency with Video/ Audio streaming and transcoding Understanding and experience with ARM platform Experience with debuggers such as gdb, strace, etc Embedded software development experience in Linux driver and both kernel & user modes are desired Familiarity with some form of scripting (shell, python, nodejs) Familiarity with Git version control A genuine passion for embedded software development A team player, who is very self-motivated, loves difficult challenges, and is goal driven Ability to deliver on tight schedules BS/MS in Computer Engineering, Computer Science or equivalent Fluent in both written and spoken English to work effectively within a highly collaborative environment with colleagues around the world Preferred Qualifications Experience with development boards such as Raspberry Pi, Arduino, BeagleBoard Experience with build system such as OpenWRT/BuildRoot/Yocto Familiarity with standard hardware protocols (gpio, usb, uart, pwm, flash, spi, i2c, ...) Job Description In this role you will implement kernel mode and user mode applications for UniFi-Protect product line device firmware, from bootloader up to user-space applications, like Linux Kernel, rootfs, Websocket, RESTful API design, gRPC, etc You will also implement
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