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Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. You deploy Deepgram’s voice AI platform into complex restaurant environments and make it work in the real world. This role sits at the intersection of engineering, product, and customer systems, partnering closely with customer leadership and technical stakeholders to bring ambitious deployments to life. You embed with enterprise restaurant brands and restaurant technology partners, learn their systems deeply, and integrate our platform into the core of their operations. Along the way you write code, debug production issues, and adapt the platform to real world constraints. You operate as a trusted technical partner to both customer leadership and engineering teams, ensuring deployments move quickly and deliver meaningful business outcomes. You turn real world deployments into leverage for the entire platform by identifying patterns across customers, shaping product improvements, and building the tooling, reference architectures, and playbooks that make each new deployment faster, more reliable, and easier to scale across large restaurant fleets and technology ecosystems. The mission of this role is to ensure every enterprise deployment of Deepgram for Restaurants works like magic — technically flawless and delivering measurable value from day one. This role is based in New York City, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is based in New York City, this would still be a remote-first opportunity, as we do not have an office local to the area. This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions * Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers. * Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization. * Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between. * Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary. * Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers. * Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building. * You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it. * You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product. * You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration. * Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output. * Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof. * High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones. * Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable. * Experience with voice AI, speech-to-text, NLP, or conversational AI systems. * Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero. * Previous experience embedded within a large enterprise customer’s product deployment. * Medical, dental, vision benefits * Annual wellness stipend * Mental health support * Life, STD, LTD Income Insurance Plans * Unlimited PTO * Generous paid parental leave * Flexible schedule * 12 Paid US company holidays * Quarterly personal productivity stipend * One-time stipend for home office upgrades * 401(k) plan with company match * Tax Savings Programs * Learning / Education stipend * Participation in talks and conferences * Employee Resource Groups * AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

Summary Description: Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for an experienced and talented DevOps Machine Learning Infrastructure Engineer to take on a critical role with expansive responsibilities to enhance the Software Engineering function in a growing organization. This individual will play a crucial role in maintaining and enhancing our machine learning applications, specifically those deployed on AWS Elastic Kubernetes Service (EKS) and on-premises machine learning cluster. The ideal candidate will have experience with cloud infrastructure, containerization, and DevOps practices, as well as the ability to work on both on-premises and cloud environments. Specific Duties and Responsibilities: • Develop, maintain, and optimize RESTful APIs using Python and FastAPI., • Deploy & manage applications on AWS EKS, ensuring high availability, scalability, and performance., • Integrate with various data sources & services (e.g., MongoDB, Postgres) for efficient data storage and retrieval., • Implement CI/CD pipelines to automate testing and deployment processes., • Collaborate across teams to ensure seamless integration of cloud-native tools and practices., • Maintain on-premises servers running Ceph, PostgreSQL, and NFS services., • Troubleshoot & resolve issues across different environments (development, staging, production)., • Bachelor's Degree in Computer Science or equivalent work experience., • Minimum of 5 years of relevant experience., • Proficiency in Python, with experience using FastAPI for API development., • Hands-on experience with AWS EKS, including deploying, scaling, and managing Kubernetes clusters., • Knowledge of containerization technologies (Docker, Kubernetes)., • Experience with cloud infrastructure services such as S3, RDS, and VPCs., • Familiarity with CI/CD tools like GitLab CI/CD or Jenkins., • Strong understanding of database systems, including MongoDB, PostgreSQL, and NFS., • Experience with on-premises storage solutions like Ceph., • Expertise in Linux system administration., • Ability to write clean, maintainable code and perform thorough testing., • Excellent problem-solving skills and a strong attention to deta., • Experience with cloud-native observability tools (Prometheus, Grafana) is a plus., • Familiarity with Kubernetes operators and Helm charts is a plus., • Knowledge of container orchestration on-premises using K8s or similar technologies is a plus., • Medical: Several plan options including PPO and HSA-compatible plans from Anthem Blue Cross, most of which are 100% paid by Syntiant Corp. for you and your family., • Dental: Company-paid dental PPO coverage from MetLife, including coverage for Orthodontia., • Vision: Company-paid vision PPO coverage from MetLife / VSP., • Life Insurance / AD&D: Company-paid basic Life / AD&D coverage in the amount of 3x your salary (up to $1,000,000). Additional supplemental life insurance with low group rates is available for yourself and your family., • Disability Coverage: Company-paid Short Term and Long-Term Disability coverage provides up to 60% income replacement protection., • Spending and Savings Accounts: Flexible Spending Account (FSA) benefits for Health Care and Dependent Care. Health Savings Accounts (HSA) for those enrolled in a qualified Medical plan., • 401K Retirement Plan: Administered by Empower, the 401(k) plan allows you to plan for your future by investing a portion of each paycheck. Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company’s purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world’s leading strategic and financial investors including Intel Capital, Microsoft’s M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting___. Elements of our total compensation package include base pay, annual incentive plan, participation in our equity plan, and robust benefits program. Individual compensation decisions are based on a number of factors, including but not limited to previous experience and skills acquired prior to joining Syntiant, cost of living in the assigned work location, assigned schedule, and salaries of similarly situated peers at the company. It is to be expected that candidates will come to us with different sets of skills and experiences and therefore will be paid at different points in the stated range. We recognize that the person(s) we select for hire may be less experienced or more experienced than the role as posted; if this is the case, any updates to available salary ranges will be communicated with candidates during the recruitment process.

Location: Remote (U.S.-based, U.S. Citizens Only) Type: Full-Time GovWorx is a mission-driven technology company dedicated to supporting public safety agencies—including 911 Emergency Communications Centers, law enforcement, and fire/EMS departments—through responsible AI solutions. Our platforms, such as CommsCoach, BluAssist, and MedAssist, leverage operational data to enhance training, quality assurance, and performance evaluation, aiming to improve staffing, morale, and efficiency across public safety sectors. As a Lead Software Engineer at GovWorx, you will be responsible for leading a team through the design, planning, and implementation phases of our Software Development Lifecycle. This includes driving software design and architecture for the team’s projects, being hands-on with the development work, and providing peer review and guidance for the other engineers on the team. You will be expected to be self-driven and adhere to our quality, security, and architecture standards. Note: This role is open exclusively to U.S. citizens due to the sensitive nature of the data and regulatory compliance requirements. * Team Management: * Ensure efficient team operations including standups, retrospectives, and other ceremonies. * Peer review and adherence to company development processes and standards. * Participate in hiring and team member performance evaluations/coaching. * Software Design & Architecture: * Produce clear architectural diagrams, documentation, and implementation plans. * Follow company architectural guidelines and industry best practices whether developing software for distribution as Software as a Service or on-premises. * Software Development: * Ability to write code across the entire stack; front-end, backend, and database. * Ability to write meaningful automated tests including Unit Tests, integration tests, and functional automation (e.g. Selenium, Playwright, etc). * Collaboration and Support: * Work closely with cross-functional teams, including engineering and customer success. * U.S. Citizenship required. * Bachelor’s degree in Information Technology, Computer Science, or a related field. * Minimum of 5 years of experience as an individual contributor working in software development, preferably within SaaS or technology-driven organizations. * Minimum of 2 years leading software development teams. * Expertise in .NET and/or Java (Spring Boot experience a major plus). * Experience with React, Angular, or other modern javascript frameworks. * Experience writing and documenting public & private APIs. * Experience with Amazon Web Services and Infrastructure as Code. * Experience with Relational Databases such as MySQL, Postgres, etc. * Alternative datastores such as OpenSearch, Redshift, etc. are a major plus. * Strong understanding of web development frameworks and architectures. * Strong understanding of VOIP/Telephony including protocols like SIP, SDP, SIPREC, RTP, etc. * Understanding of handling and manipulating audio streams/codecs. * Excellent problem-solving skills and the ability to work independently in a remote environment. * Strong communication and interpersonal skills, with the ability to collaborate effectively across teams. * Experience with CJIS compliance is highly preferred. * Background in public safety, emergency communications, or related fields. * Familiarity with AI-driven platforms and their security considerations. At GovWorx, you'll be part of a team committed to making a meaningful impact on public safety through innovative technology solutions. We offer a collaborative, remote-friendly work environment where your contributions will directly influence the safety and efficiency of first responders nationwide. If you're interested in this opportunity or know someone who would be a great fit, please reach out to us. We're excited to find a dedicated professional to lead our IT and security initiatives as we continue to grow and support our public safety partners.

Overview: Earn $20 - $23/hr California's Great America Live Entertainment department is now looking for an experienced and high energy individual to become a part of our team! Now is your chance to join the parks Technical Operations team as a Lighting/Audio Technician. Applicants 18+ that have the experience and want to put it to use in an engaging and fun work environment should apply today! As an Entertainment Technician you will: * Assist in light/audio/video installation and maintenance. * Operate scheduled performances as an audio board engineer. * Complete daily sound checks. * Work with audio designer during rehearsals to ensure high quality product. * Maintain entertainment facilities and audio/lighting related equipment. * Assist in the installation and troubleshooting of show/event/attraction audio and lighting systems. * Operate heavy equipment such as forklift, telehandler, high reach boom lift, and other aerial work platforms. Responsibilities: California's Great America is the top destination for thrill-seekers and families alike and premiere entertainment with 100+ acres of FUN. We want YOU to join us in making people happy! As a member of our team you will: * Make our guests happy by delivering amazing experiences and helping them create lifelong memories. * Interact with different people of all ages and backgrounds. * Gain skills, knowledge, and experience that will benefit your future. Qualifications: * You! * Individuals with a passion and excitement about Great America! * People who love helping others and will support the needs of our guests and associates. * Ability to work and interact with people from diverse backgrounds. * Good judgment and commitment to safety. * Candidates who have full availability (Wednesday-Sunday 10:00 AM-9:00 PM preferred)

Optical Validation Engineer, Google Cloud corporate_fare Google place Sunnyvale, CA, USA Early Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes. Minimum qualifications: * Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience. * 1 year of experience in optical transceivers and testing. * Experience with lab test and measurement instrumentation (e.g., fiber optic active and passive devices), and with fiber optics components handling and cleaning. * Experience working with compute and networking systems such as physical, functional, logical, mechanical, optics, electrical, software, thermal. Preferred qualifications: * Master's degree in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP). * Experience with Linux/Unix. * Experience with lab test automation frameworks. * Experience with data center optical transceiver standards. * Knowledge of wafer-level and chip-level probe testing and optical lab automation and scripting (e.g., Python, MATLAB, or LabVIEW). About the job The Optical Validation Team is responsible for supporting the development, new product introduction (NPI), and post-production testing of optical transceivers, switches, and technologies that power Google Cloud Platforms. We test new optical transceiver designs, unit, environmental, and system qualification of transceivers in a wide array of host networking and compute platforms, optical circuit switches (OCS), and transceiver component design at the wafer level. As an Optical Hardware Validation Engineer, you will play a key role in the development of Google Cloud network infrastructures. You will be asked to perform testing of novel and complex configurations of networking hardware, and collaborate closely with hardware and software teams to configure lab networks and test infrastructure that evaluate and characterize the performance of cloud computing and networking products. You will support lab maintenance, helping with the day-to-day operations with pride in cleanliness, organization, and safety which plays a key role in the rapid development and support of Google's data center technologies. Our Platforms Infrastructure Engineering team designs and builds the hardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. As a hardware engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will see those systems from concept all the way through to high-volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers, affecting millions of Google users. The US base salary range for this full-time position is $108,000-$153,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google () . Responsibilities * Support test development for new and existing optical product designs. Create and execute comprehensive validation plans, ensuring full coverage and quality adherence. * Develop and automate optical test instrumentation using Python and vendor APIs, optimizing data acquisition and scripting. * Operate wafer probe stations, conduct high-frequency measurements, and analyze wafer data for product validation. * Develop automated test scripts, debug hardware/software issues for switch/router/transport platforms. Analyze, troubleshoot, and root cause field failures of optical transceiver modules. Drive issues to closure with the design team to implement preventive measures. * Install, test, repair, and validate new and existing hardware and fiber connections. Maintain lab infrastructure, manage equipment, and troubleshoot field failures, ensuring a functional Research and Development (R&D) environment. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy () ,Know your rights: workplace discrimination is illegal () ,Belonging at Google () , andHow we hire () . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form () . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: .

🚀 Our client is hiring: Applied Research Engineer (Video AI / Computer Vision) 📍 In-person | San Francisco Our client is building high-performance systems to understand video at internet scale. Video now accounts for ~80% of internet traffic and is rapidly becoming the foundation for creativity, communication, gaming, AR/VR, and robotics. The limiting factor in next-generation AI isn’t models — it’s high-quality video data and understanding at scale. This team sits at the intersection of: • Computer Vision, • Audio + speech processing, • Multimodal AI systems, • Large-scale data infrastructure Their mission is to transform raw video into structured, usable datasets and systems that unlock frontier model performance. 🧠 The role As an Applied Research Engineer, you’ll design and build systems that power large-scale video understanding. You’ll work across both research and production, including: • Building high-performance data and inference pipelines, • Improving model performance through smart preprocessing and optimisation, • Working with APIs, models, and multimodal systems, • Solving ambiguous, research-heavy engineering problems, • Shipping end-to-end systems that directly impact customers and model capability 🔧 What they’re looking for • 2+ years experience in Computer Vision or Audio ML, • Strong Python engineering skills, • Experience with PyTorch or similar ML frameworks, • Ability to work across research + production environments, • Strong communication skills with technical and non-technical stakeholders, • Clean, production-quality coding practices, • Ability to translate customer problems into technical system design, • Passion for video, media, or multimodal AI systems ⭐ Bonus • Open-source contributions, • Early-stage startup experience, • Portfolio of applied ML or systems work 📍 Must be based in or willing to work in-person in San Francisco. If you’re interested in building systems that turn video into intelligence at scale, our client would like to hear from you.

🚀 Our client is hiring: Applied Research Engineer (Video AI / Computer Vision) 📍 In-person | San Francisco Our client is building high-performance systems to understand video at internet scale. Video now accounts for ~80% of internet traffic and is rapidly becoming the foundation for creativity, communication, gaming, AR/VR, and robotics. The limiting factor in next-generation AI isn’t models — it’s high-quality video data and understanding at scale. This team sits at the intersection of: • Computer Vision, • Audio + speech processing, • Multimodal AI systems, • Large-scale data infrastructure Their mission is to transform raw video into structured, usable datasets and systems that unlock frontier model performance. 🧠 The role As an Applied Research Engineer, you’ll design and build systems that power large-scale video understanding. You’ll work across both research and production, including: • Building high-performance data and inference pipelines, • Improving model performance through smart preprocessing and optimisation, • Working with APIs, models, and multimodal systems, • Solving ambiguous, research-heavy engineering problems, • Shipping end-to-end systems that directly impact customers and model capability 🔧 What they’re looking for • 2+ years experience in Computer Vision or Audio ML, • Strong Python engineering skills, • Experience with PyTorch or similar ML frameworks, • Ability to work across research + production environments, • Strong communication skills with technical and non-technical stakeholders, • Clean, production-quality coding practices, • Ability to translate customer problems into technical system design, • Passion for video, media, or multimodal AI systems ⭐ Bonus • Open-source contributions, • Early-stage startup experience, • Portfolio of applied ML or systems work 📍 Must be based in or willing to work in-person in San Francisco. If you’re interested in building systems that turn video into intelligence at scale, our client would like to hear from you.

The Real-Time Networking team is seeking a motivated Engineer who takes initiative and delivers results. As a Networking and Realtime streaming engineer, you will be responsible for designing and implementing new features around Apple's real-time networking stack, and improving the existing core fun

Adobe seeks a Lead Engineer for its Digital Video & Audio team in San Jose, California. This role involves leading the development of the next-generation video processing pipeline for products like Premiere and After Effects. Candidates should have 15+ years in Software Engineering, a strong profici