Systems Engineer jobs at RTL Networks - 4325 jobs

San Francisco Bay Area, California, United States Software and Services The iPhone revolutionized how people live, communicate, and connect. The iPad changed how people define a computer. Come help build the iconic user experiences and delightful interfaces that millions of customers use and love every day. The Notifications and Focus team is looking for a creative, customer-focused engineer to help push the iOS and iPadOS user experience forward. Come work with an energetic, hardworking team of engineers, multi-functional teams, and world‑class designers to deliver the best mobile experience on the planet! Description Are you passionate about building software that is used by millions of people every day? Have you ever wondered what backs the notification system employed by iOS, watch OS, vision OS, and mac OS? How services like Focus interact with the rest of the system to allow for personalization and intentional use? How all of the beautiful, fluid animations in iOS are achieved? How to make services and technologies that fundamentally make iOS, well… iOS? As an engineer on the Notifications and Focus team, your responsibilities will range from defining, designing, and implementing new features and interfaces, to fixing bugs, iterating on features, and focusing on performance. You should have a strong understanding of object‑oriented software design, good debugging skills, and an eagerness to tackle tough problems and learn from amazing teammates. Minimum Qualifications Bachelor of Computer Science or equivalent work experience Strong sense of ownership and accountability Comfortable operating in ambiguity and defining the right solution, not just implementing one Knowledge of Apple's development APIs and experience developing apps with UIKit or SwiftUI Exceptional problem solving, critical thinking, and communication skills Preferred Qualifications Familiar with the challenges of working in large codebases Versed in modern software development methodologies Excellent object‑oriented programming and design skills Excellent understanding of optimization and performance issues across OS software layers At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

Cupertino, California, United States Machine Learning and AI The Siri organization is looking for passionate Machine Learning Systems Engineers to join us in developing and shipping state-of-the-art generative AI technology to advance Siri and Apple Intelligence for Apple's customers. Siri is being elevated by the huge opportunities that AI brings.The organization is responsible for training on-device & cloud models, evaluating various approaches, pushing the envelope with the latest generative AI research developments, and ultimately delivering product critical models that power Siri and Apple Intelligence experiences. These models ship across a wide range of products at Apple, including iPhone, Mac, Apple Watch and more, enabling millions of people around the world to get things done every day. Our team provides an opportunity to be part of an incredible research and engineering organization at Apple. By joining the team, you will work with highly talented machine learning researchers and engineers, and work on meaningful, challenging and novel problems. Description As a Machine Learning Systems Engineer, you will work closely with Siri modeling teams and other cross-functional teams to optimize model training and inference. You will be working across the ML stack at Apple, finding opportunities to make models performant, train quicker, and run faster on Apple's custom Apple Silicon. You will be joining a team that spans data, modeling, evaluation, deployment and working with engineers across ML infrastructure, inference, and framework teams. You will write production-level code to train and deploy models that will impact Apple's customers and enrich their lives. You are an ideal candidate if you: Are not afraid of CUDA OOM or NCCL errors Can dig deep into an ML library to understand how tiny details impact the model Can understand complex ML systems that include data, training pipeline, export, and inference engine Minimum Qualifications Experience in model lifecycle of training, evaluation, and deployment of models Strong understanding of Machine Learning (ML) model architectures (e.g. Transformers, CNN) and ML training loop Strong proficiency in Python and ML framework such as PyTorch Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent industry/project experience Preferred Qualifications Collaborative with experience working in large inter-teams projects Expertise in ML and LLM optimization such as quantization, KV Cache, Speculative Decoding Familiarity with ML training methodologies such as FSDP, DDP, and other parallelism Experience in an LLM training/eval library such as HuggingFace transformers, lm evaluation harness, Megatron-LM. Experience in optimizing LLM models and deploying LLM models Proficiency in a compiled programming language (e.g. Swift, C/C++, Java) At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . #J-18808-Ljbffr

A leading technology company is seeking a Machine Learning Engineer to contribute to the development of Siri. You will work on designing and optimizing machine learning algorithms and collaborate cross-functionally at Apple. The ideal candidate will have strong programming skills and experience in machine learning. Salary base range is $126,800 to $220,900, with additional benefits including stock options and comprehensive healthcare. #J-18808-Ljbffr

A healthcare technology company is seeking a Research Engineer to enhance ML infrastructure for medical imaging. You will manage data pipelines and contribute to production-ready systems. Ideal candidates have 3+ years' experience in production ML systems, strong Python skills, and familiarity with cloud technologies. This role involves collaboration with researchers and rapid prototype development. #J-18808-Ljbffr

A leading technology company based in San Francisco is looking for a creative engineer to enhance the iOS and iPadOS user experience on the Notifications and Focus team. Responsibilities include defining, designing, and implementing innovative features, fixing bugs, and improving performance. The ideal candidate should hold a Bachelor in Computer Science, demonstrate ownership, communication skills, and experience with UIKit or SwiftUI. Competitive compensation and comprehensive benefits are offered, including employee stock programs. #J-18808-Ljbffr

A tech company in San Francisco is seeking an innovative AI Engineer to design and integrate cutting-edge AI capabilities. The ideal candidate will have over 2 years of experience, proficiency in AI/ML, and strong communication skills. This role involves collaborating with teams, developing AI systems, and addressing scalability challenges in a fast-paced environment. The team operates on-site in San Francisco five days a week. #J-18808-Ljbffr

Sunnyvale, California, United States Machine Learning and AI Want to ship amazing experiences in Apple products? Be part of the team in the Video Computer Vision (VCV) organization that focuses on people understanding from real-time video streams and building higher level reasoning algorithms. VCV delivered features such as Face ID, RoomPlan as well as many other computer vision algorithms powering Apple Vision Pro, iPhone, and iPad. We focus on a balance of research and development to deliver Apple quality, pioneering experiences. Come shape Apple products as a driven and dedicated ML Infrastructure and Data Engineer to push the limits of ML algorithms with hands‑on work and real world and simulated data, in an innovative team and be part of building the next big thing. Description As part of the Video Computer Vision (VCV) team, you will help us create the data and infrastructure ecosystem needed to support our ML development and continuously improve our features. We take full end-to-end ownership of our services and data products, driving them through every stage meticulously, encompassing conception, design, implementation, deployment, and maintenance. As a result, each one of us takes our responsibilities seriously. In this team, you'll have the opportunity to work on complex problems in close partnership with our ML engineers, data scientists and software integration teams. Minimum Qualifications Bachelor's degree in Computer Science or related discipline, and 2 years relevant industry experience. Strong foundational knowledge in Computer Science. Extensive programming experience in Python. Hands‑on experience with cloud providers (AWS, GCP, or Azure). Strong understanding of core infrastructure concepts (e.g., compute, networking, storage, containers, Kubernetes). Preferred Qualifications Experience with machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment. Proficiency with cloud computing and distributed data processing infrastructure and tools (e.g., Ray, Spark, Trino). Hands‑on experience with CI/CD pipelines and practices. Familiarity with Infrastructure as Code (IaC) tools (e.g. Terraform, Pulumi, or CloudFormation). Experience building on LLMs or other generative models. Ability to drive projects from concept to production, balancing business needs with technical quality and timely delivery. Excellent communication skills, ability to work both independently and multi‑functionally. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

Mini-Circuits designs, manufactures and distributes integrated circuits, modules, and sub-systems for high-performance radio frequency (RF) and microwave applications. With design, sales, and manufacturing locations in over 30 countries, Mini-Circuits' products are used in a range of wired and wireless communications applications. Our products are also used in detection, measurement, and imaging applications, including military communication, guidance, and electronic countermeasure systems, commercial, scientific, military land, sea, and aircraft; automotive systems, medical systems, and industrial test equipment. Mini-Circuits sells its products to over 20,000 customers globally through our direct sales force, applications engineering staff, and sales representatives, as well as through our extensive website. Position Summary Design, validate, and scale automated production test systems and robotic device handlers for RF and Microwave components. This role is responsible for enabling standardized architectures, throughput improvement, global alignment, and long-term scalability of automated test processes. Salary Range $100,000 - $125,000 per year Job Function Define, design, and validate standardized robotic test handlers, adaptable across multiple RF product lines. Drive new handler integrations and improvements, document FPY, OEE, and operator experience metrics. Collaborate with global teams (Brooklyn, Florida, India, Malaysia) to ensure alignment, backup-site readiness, and standardized deployment. System Design & Development Analyze test and assembly processes to identify candidates for automation based on capacity, efficiency, and process control needs. Develop scalable, modular designs for automated handlers, including mechanical, electrical, vision, and control systems. Specify and integrate sensors (vision, position, presence), robotic arms, conveyors, and fixturing for precision RF component handling. Incorporate RF test-specific requirements (grounding, thermal, high-frequency probing, shielding). Prepare proposals, resource/budget estimates, and project plans for new automation initiatives. Lead cross-functional reviews and maintain stakeholder communication from concept to qualification. Manage vendor engagement, procurement, build, and qualification of handler systems. Documentation & Training Create system specifications, qualification/buy-off plans, operation and maintenance procedures. Train users and support personnel on deployed automation platforms. Drive continuous improvement in throughput, FPY, reliability, and maintainability. Track and implement engineering changes and upgrades into future designs. Stay current with emerging automation technologies (vision, robotics, motion systems, AI-driven inspection) and evaluate for Mini-Circuits applications. Qualifications BS/MS degree in Mechanical, Electrical, Mechatronics, or Control Systems Engineering. Minimum 5 years of relevant experience. Experience with robotic systems, automated handlers, or precision motion/vision-based automation. Familiarity with high-mix/low-to-medium volume manufacturing environments. Controls programming experience (PLC, microcontrollers in C/C++, or equivalent). Data collection and analysis skills (Excel, JMP, Python). Preferred Knowledge Experience with automated inspection systems (AOI, Keyence, Cognex vision). Knowledge of RF test process requirements and challenges. Conveyor/robot integration, pneumatic actuators, precision fixturing. Understanding of Lean Manufacturing, OEE analysis, and ROI calculations. Exposure to manufacturing ERP and PLM systems (SAP, Arena PLM, etc.). Skills Strong communication and documentation skills. Ability to lead cross-functional teams and vendor collaborations. Capable of balancing hands‑on design/build/debug with strategic project leadership. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to stand, walk, sit and use hands to operate a computer keyboard. The employee is occasionally required to reach with hands and arms. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, and ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Additional Requirements/Skills Must be a US citizen or US permanent resident Ability and willingness to abide by Company's Code of Conduct Occasional travel, some overnight, as required Benefits Comprehensive Medical, Dental, and Vision plans 401(K) and Profit‑Sharing Programs Disability Insurance Life Insurance Employer‑Sponsored Wellness Plans Hospital & Accident Indemnity Insurance Employee Benefit Advocate & Employee Assistance Program ul> Disclaimer: The listed qualifications and requirements for each position are intended as guidelines. Mini-Circuits reserves the right to hire outside of these guidelines at Management's discretion. Mini-Circuits is an Equal Opportunity Employer and does not discriminate on the basis of actual or perceived age, race, creed, color, national origin, sexual orientation, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, gender identity, gender dysphoria, pregnancy‑related condition, and domestic violence victim status or protected class characteristic, or any other protected characteristic as established by federal or state law. #J-18808-Ljbffr

A leading technology company is looking for a Machine Learning Infrastructure Engineer in Sunnyvale, California. You will develop data ecosystems and infrastructure for ML projects, partnering closely with engineers and scientists. Candidates should have a Bachelor's in Computer Science and experience with cloud providers, as well as strong programming skills in Python. This is an opportunity to be a part of innovative projects that influence the next generation of technology. #J-18808-Ljbffr

A leading tech company is seeking a Storage Infrastructure Engineer for Machine Learning in Sunnyvale, CA. This role involves optimizing data storage systems for machine learning post-training data. Candidates should have strong programming skills in C++, Python, and a passion for enhancing data models. The position offers a competitive salary range of $141,000-$202,000 along with bonuses, equity, and benefits. Ideal candidates have a Bachelor's degree and relevant experience in software architecture, customer engagement, and project execution. This is an excellent opportunity to contribute to cutting-edge AI research. #J-18808-Ljbffr

Meet the Team You will provide guidance and assist Security Sellers and Account teams within the territory in a pre‑sales technical role, showcasing Cisco security product solutions, setting up demonstrations, explaining features and benefits to customers, and designing and configuring products to address specific customer security needs. You will form relationships with our customer's key decision-makers, positioning Cisco security solutions aligned accurately to their requirements. You will be a part of an outstanding technical pre‑sales team in our Global Security Sales Organization (GSSO), responsible for driving the success of Cisco's Security Portfolio and focusing on protecting Customer Application Environments no matter where they live (on‑prem / any cloud). Our mission is simple: democratize security by making it easy and effective for everyone. We're transforming security from the ground up by solving the world's most pressing geopolitical challenge - safe, secure information access. We engineer our business to enable our customers to easily address their ever‑evolving security challenges. We believe that impactful work is rewarding work and that our team is at its best when everyone feels empowered to bring their whole self to work. We learn together by hiring for cultural contribution, not cultural fit, and recognize that diversity in background and thought are essential to building high‑impact teams. We invest in growth and learning opportunities and encourage our people to never stop learning. We foster collaboration and believe in being recognized (and rewarded!) for hard work. We champion a healthy work‑life balance. We're kinder than necessary. Together we build for the future by designing simple solutions for complex problems. And that's why we're the most loved and trusted name in security. Your Impact As an advisor to the customer, you'll be working with technology experts to craft architectures and configure products to meet customer‑specific needs, are prepared to lead all technical aspects of pre‑sales activities, and position security solutions effectively against competing offerings. You are an aggressive starter, self‑starter with the ability to build executive relationships, develop and execute sales strategies and tactics that improve Cisco's opportunity with a customer environment, position and promote the partner and customer value proposition for Cisco security architecture, articulate Cisco's product and business strategies, and create the demand that makes deals happen! You will: Serve as the subject matter expert in Cisco security solutions Provide guidance and assist account teams within the territory in building solutions to address specific customer security needs Understand business requirements for a customer base and be able to translate them into technical requirements Understand and articulate Cisco's architecture and services within security technologies Create, present, and document technical solutions Perform in-depth and high‑level technical presentations for customers partners and prospects Drive identified major account opportunities (i.e. technical consulting, upper‑level management presentations, and Cisco technology solutions) while allowing local account teams to maintain long‑term ownership Who You Are You are passionate about the customer experience and excited about new technology. You are a true teammate and love to learn. Being a self‑starter, our SEs act as an industry domain authority, and strive to help Cisco make customers for life. Minimum Qualifications Minimum of 4 years of pre‑sales tech experience. Hands on experience with one or more of these Cisco Security Products (or their competitive equivalent): ******************************************************************** Preferred Qualifications History of successful quota achievement. Ability to demo / POV any of these Cisco Security products (the more the better): ******************************************************************** Knowledge of public clouds AWS, Azure, GCP, and OCI. Experience with incident response a plus Experience with administering security for a company (e.g. purchased and deployed Cisco security products as a customer) is a plus. Solid presentation and interpersonal skills. Experience with whiteboard discussions that transform customer requirements into security solutions Highly motivated self‑starter who does not need day‑to‑day management Experience with APIs and scripting languages is a nice to have but not required. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $200,000.00 to $252,000.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job‑related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long‑term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non‑exempt employees 1 paid day off for employee's birthday, paid year‑end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non‑exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full‑time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non‑sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance‑based incentive pay on top of their base salary, which is split between quota and non‑quota components, subject to the applicable Cisco plan. For quota‑based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non‑quota‑based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $200,000.00 - $289,800.00 Non‑Metro New York state & Washington state: $192,000.00 - $278,200.00 For quota‑based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non‑exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records. #J-18808-Ljbffr

A global technology company is looking for a skilled Machine Learning Engineer specializing in Computer Vision to develop innovative AI solutions for smart manufacturing. Responsibilities include designing scalable ML infrastructure, implementing deep learning models, and debugging complex algorithms in production environments. Candidates should have a strong foundation in software development along with practical experience in image processing and machine learning. This full-time role offers a competitive salary range of $141,000-$202,000, plus bonuses and equity. #J-18808-Ljbffr

US Citizen Only with Active Secret Clearance Technical Requirements: * Tools: Mastery of Cameo Systems Modeler (No Magic) or IBM Rhapsody. * Standard: OMG SysML certification. * Traceability: Linking requirements in DOORS to system architecture models. * Scope: Modeling the "Digital Twin " of the UAV powertrain for the predictive maintenance pod.

A leading technology company in Cupertino seeks a Machine Learning Engineer to convert high-level goals into measurable requirements. You'll collaborate with diverse teams to implement AI technologies, requiring strong skills in NLP and programming. Applicants should have 5+ years of experience in machine learning and familiarity with cloud platforms. The company provides competitive compensation and benefits including comprehensive health coverage and stock options. #J-18808-Ljbffr

Apply info_outline X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Sunnyvale, CA, USA. Bachelor's degree or equivalent practical experience. 2 years of experience with coding in C++, Python and g3Python. Preferred qualifications Master's degree or PhD in Computer Science, or a related technical field. 2 years of experience in software architecture. 2 years of experience in customer engagement. 2 years of experience in project execution. About the job Hydra is the next generation storage system for ML post-training data. The system is currently used mainly by Gemini and growing rapidly. It powers major Gemini tools such as Gemini Data Studio, Gemini Atlas Leaderboard, and critical OneRecipe/Gemini researcher workflows. Gemini and Google AI research are evolving very fast, which translates to exponentially increasing data sizes and rapidly evolving user requirements. We are working on improving the performance and reliability of the existing Critical User Journeys (CUJs) to speed up Gemini AI research, supporting new features to meet new AI research requirements, refining Hydra APIs and data models to allow rapidly increasing data sizes, designing the system in extensible ways for faster introduction of new features and reduction in development churn, etc. The US base salary range for this full-time position is $141,000-$202,000 + 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 about benefits at Google . Responsibilities Improve Hydra's read/query/write patterns throughout its storage layer and serving stack. This includes analyzing Spanner hotspotting/lock contention/resource usage/issues, improving Hydra's Spanner/Lightning schema design, improving Hydra's Spanner/F1 queries, supporting new features in F1 Query (e.g., full-text search predicate pushdown) for Hydra's use cases, etc. Implement data isolation models to allow Hydra to be used by all Google Product Areas for their post training needs. Collaborate with various DeepMind/CoreML/CloudML/Search teams and AI researchers to gather requirements for feature development and performance optimization. Implement new features to meet rapidly evolving Google AI research needs. For instance, Hydra is currently working on better supporting ML model eval, LLM distillation, semantic search, etc. Improve extensibility of the system by leveraging technologies such as Spanner remote Universal Dashboard Framework (UDF). 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 also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . 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. #J-18808-Ljbffr

Stytch is the platform for user authentication and anti-fraud tooling. We make it simple for developers to build complex authentication flows in minutes. We're looking for an experienced Solutions Engineer who thrives on educating, problem-solving, and building relationships with developers at industry leading companies. In this role, you will be responsible for understanding the needs of our customers, communicating solution designs, and leading technical evaluations. Throughout that path, you'll be serving as the auth subject matter expert with our customer's engineering team to drive a smooth and speedy evaluation. This is a hybrid, full-time position based in the SF Bay Area. We aren't looking for someone to be in-office 5 days per week, but are looking for someone who is excited to collaborate in-person on a weekly basis (2-3 days per week in-office). What Excites You A collaborative environment, working with prospective customers and internal teams to push our product forward Serving as a confident technical resource and voice for our customers Learning - our product suite and problem space is continually evolving, and staying on top of those changes is critical to success Building strong relationships with prospective customers to ensure a successful evaluation What Excites Us Demonstrated ability to communicate credibly and effectively at all levels; everyone from a CTO to a software engineer Grit - tenacity, curiosity, and drive to find the solution that works for customers and collaborate closely with engineering and product to give feedback and push for new features when needed Ability to read and write code - our product and customers are highly technical and we often share example apps and code snippets to help them understand our product Familiarity with modern web services and APIs. Experience with authentication protocols (SAML/OAuth), MFA, IdP is a bonus Enthusiasm to work in a high-growth environment and to help build processes and tools as needed Want You'll Do Lead technical customer conversations to identify, qualify and address customers' authentication use cases, requirements and constraints Collaborate with the sales team to demonstrate the business and technical value of Stytch Lead technical demos and POCs of Stytch's authentication platform Codify learnings from customer deployments into repeatable implementation methodologies and playbooks Develop technical domain expertise of authentication and authorization concepts and policies such as SAML, OIDC, and OAuth Partner with our Product organization to help shape our roadmap based on prospect and customer feedback, challenges and growth drivers Expected on-target earnings (OTE) for this position is between $140,000 - $180,000 with a base/variable split of 80%/20%. The anticipated OTE range is not inclusive of full benefits including equity, health care insurance, time off, paid parental leave, etc. We're looking to hire a GREAT team and that means hiring people who are highly empathetic, ambitious, and excited about building the future of user authentication. You should feel empowered to apply for this role even if your experience doesn't exactly match up to our job description. We are committed to building a diverse, inclusive, and equitable workspace where everyone feels like they belong. We look forward to hearing from you. Stytch participates in e-verify and will provide the federal government with your form I-9 information to confirm that you are authorized to work in the United States. #J-18808-Ljbffr

Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine‑tuned extraction models where legacy OCR and other parsing tools consistently fail. We are a small, fast‑growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth‑stage companies. We are backed by tier 1 investors and growing quickly. What makes our tech special is our multi‑stage architecture: Layout understanding with specialized component detection models Low‑latency OCR models for targeted extraction Advanced reading‑order algorithms for complex structures Proprietary table structure recognition and parsing Fine‑tuned vision‑language models for charts, tables, and figures If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence. What we are looking for 5 days in‑office at our San Francisco office Eager to learn and adapt quickly Prior startup or founding experience is a plus About the Role As a Solutions Engineer at Pulse, you will work at the intersection of customer deployments and core engineering. You will help design, deploy, and operate Pulse in real production environments, often inside customer infrastructure, with a strong focus on reliability, performance, and accuracy. This role is hands‑on and technical. You will work closely with customer engineering teams while partnering with Pulse's platform, ML, and product teams to ensure successful deployments and continuous improvements. Responsibilities Deploy, operate, and debug Pulse services in Kubernetes‑based environments Work directly with customers to support production rollouts, pilots, and ongoing operations Configure and optimize extraction pipelines, schemas, and validation workflows Diagnose accuracy, latency, and infrastructure issues across distributed systems Build internal tools and customer‑facing utilities in Python to support deployments Support API integrations, webhooks, and downstream data delivery workflows Collaborate with core engineering to surface product gaps and improve platform reliability Own operational excellence for customer‑facing deployments, including monitoring and incident response Requirements 2+ years building and operating production systems, new grads with strong infra experience considered Strong experience with Kubernetes, including deploying, debugging, and operating services in production Proficiency in Python for backend services, tooling, and automation Experience working with APIs, distributed systems, and asynchronous workflows Comfort working directly with customer engineering teams on technical deployments Strong debugging skills across application, infrastructure, and data layers Clear written and verbal communication, with a bias toward ownership and execution Nice to have Experience running workloads on AWS, GCP, or Azure Familiarity with Docker, Helm, Terraform, or similar tooling Experience with observability tooling (metrics, logs, tracing) Background in data infrastructure, ML platforms, or document processing systems Sponsorship Sponsorship available. Compensation and benefits Competitive base salary plus equity, performance‑based bonus, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage. #J-18808-Ljbffr

A dynamic tech firm in San Francisco is seeking a Solutions Engineer to bridge customer deployments and engineering operations. This role focuses on deploying and operating the Pulse service within customer environments, emphasizing reliability and accuracy. Ideal candidates will have over 2 years of experience with Kubernetes and Python, with strong skills in debugging and working directly with customers. Competitive compensation, including salary and benefits, is offered. #J-18808-Ljbffr

Job DescriptionDescription: Systems Engineer/Ground Controller Status: Full-time / On-site Clearance: Secret with Top-Secret eligibility Required Certification(s): IAT Level II (Security+, CySA+, etc.) About Us: RTL Networks, Inc. is a rapidly growing company primarily focused on providing information technology (IT) support services and personnel to various commercial and government customers for extended-term contracts. By providing a wide array of professional services and products, we help our customers leverage technology and operate confidently in their technology environments to ensure resource predictability, security, and reliability to meet business objectives. Compensation: The annual salary range for this position is $110,000 - $130,000. Please note that the salary information is a general guideline only. RTL Networks considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Summary: RTL Networks has an exciting opportunity for a Systems Engineer/Ground Controller providing network hardware & software expertise in support of the Combined Orbital Operations Logistics and Resiliency program. The Systems Engineer/Ground Controller will be responsible for providing support to the Satellite Engineering Operations & Sustainment Support (SEOSS) team at the satellite factory in Sunnyvale, CA providing systems administration support and Ground Controller tasks for all Ground Controller efforts in the MASC. Primary Responsibilities: Essential responsibilities of the Systems Engineer/Ground Controller include, but are not limited to: Reset user passwords. Adjust satellite position. Support satellite operations. Monitor telemetry systems. Resolve communication issues. Support data center operations. Support hardware deployment, troubleshooting, etc. to ensure system reliability. Support Project Engineer duties as needed (host meetings, update Jira, etc.). Support VTC deployment, troubleshooting, etc. to ensure system reliability. Qualifications: Advanced degree and 3+ years' experience or bachelor's with 5+ years' experience or equivalent. Must meet DoD 8570 Information Assurance Workforce (IAWF) criteria or Information Assurance Technical (IAT) Level II certification at time of hire (i.e., Security+). Physical Demands: Must be able to lift up to 15 pounds. Must be able to stand and walk for prolonged amounts of time. Must be able to twist, bend and squat periodically. SECURITY CLEARANCE REQUIREMENTS: Must be able to obtain and maintain a security clearance at the Secret level with ability to obtain Top-Secret. US Citizenship is a requirement for clearance at this location. NOTE: U.S. Citizenship required. Applicants must have a valid driver's license for this position and will be subject to verification. Chosen applicants must pass pre-employment drug screening, credit review, and a criminal background check. We are an Equal Opportunity Employer, Females/Minority/Veterans/Disabled/Sexual Orientation/Gender Identity/Religion/National Origin #cj Requirements: