Systems engineer jobs in Salinas, CA - 1,642 jobs

A leading tech firm is seeking a recent graduate or final-year PhD/Master's student for a role focused on advancing NLP research within their Language AI features. Responsibilities include conducting rigorous research, collaborating with product managers, and innovating in AI solutions. Ideal candidates will have a strong background in machine learning and natural language processing, and experience with Python. This position is located in San Jose, California, and offers a competitive salary package. #J-18808-Ljbffr

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: High-performance server product team in Supermicro is seeking talented System Engineer who can lead the technical collateral development of in-house multi-node server system products. This individual will have the opportunity to define and implement latest data center and storage technologies, and to create proof of concepts and technical feature paper presentations to differentiate Supermicro product through online and at various industry events. This individual will also be the go-to person for product managers and system engineers to be the subject of matter expert in application benchmarks specifically in networking, storage, and virtualization. Essential Duties and Responsibilities: Includes the following essential duties and responsibilities (other duties may also be assigned): Server solutions hands on and lab activities: Assemble systems (GPU, CPU, Motherboard, Memory, Storage and Networking). Root cause diagnosis:identify and analyze the root cause of system failures, isolating specific components or failure nodes to implement effective solutions with Engineering. Test Automation:utilize basic scripting skills to automate validation tests, increasing efficiency in testing processes. Linux operating system level benchmarking, validation, testing, driver and software stack testing and debugging. This includes test scripts development. Generate and publish comprehensive test reports, effectively communicating findings and insights to team members. Familiar with Computer Science architecture and experienced in NVQual, MLPerf, CUDA is a Plus. Participate in the product development cycles, from concept through launch, ensuring timely delivery and quality. Cross-functional project work:engage with cross-functional teams, including Engineering, Component Managers, etc. on assigned projects to ensure cohesive development and implementation. Qualifications: * Bachelor or Master's degree in EE, CE, CS or ME with minimum of 5 years working experiences * Strong knowledge in enterprise server architecture. Previous experience in server product development is a plus * Strong knowledge in server architecture (including PCIe, SATA, and SAS protocols) and OS applications, and knowledge in vSAN is a plus * Knowledge in benchmarks(FIO/IOMeter/vdbench), in-band and OOB (IPMI/BIOS) management is a plus * Experiences in Windows and Linux OS and scripting languages (python, JavaScript, Visual Basic) are a plus * Proficiency in using hand and power tools for hardware installation * Ability to read and interpret technical drawings, schematics, and diagrams * Excellent problem-solving skills and attention to detail Salary Range $120,000 - $165,000 The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs. EEO Statement Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

Shyld AI is building Physical AI systems that operate autonomously in hospitals to reduce infections and improve clinical workflows. Our platform combines sensing, embedded systems, AI, and hardware deployed in real clinical environments. We are looking for a hands-on Hardware Systems & Test Engineer to help us design, test, validate, and deploy reliable hardware systems at scale. This role sits at the intersection of hardware testing, QA, system integration, and field deployment, and will play a critical role in ensuring our devices perform safely and reliably in hospitals. What You'll Do Own hardware testing and system-level validation for Shyld AI devices Define and execute hardware QA processes, including incoming inspection, functional testing, and reliability testing Assist with hardware design and bring-up, including schematic reviews, PCB bring-up, and system integration Work closely with suppliers and contract manufacturers, helping manage technical communication, troubleshooting, and design iterations Organize and maintain the hardware lab, including test fixtures, tools, inventory, and documentation Debug and troubleshoot hardware, firmware, and system-level issues in both lab and field environments Evaluate, prototype, and test new sensors and hardware components Support device installations at customer sites, including setup, validation, and troubleshooting in hospital environments Create clear documentation for test procedures, installation workflows, and field learnings What We're Looking For 3+ years of hands-on experience in hardware testing, system integration, or hardware engineering Strong experience debugging real hardware systems (not just simulations) Comfortable working across hardware, firmware, and software boundaries Experience with lab tools such as oscilloscopes, multimeters, power supplies, logic analyzers Familiarity with embedded systems, sensors, and communication interfaces (I2C, SPI, UART, USB, Ethernet, etc.) Ability to communicate clearly with suppliers and manufacturing partners Comfortable traveling to customer sites and working hands-on in the field Highly organized, detail-oriented, and ownership-driven Nice to Have Experience with medical devices, robotics, or safety-critical systems Exposure to manufacturing, DFM, or production test Experience bringing up new sensors or evaluating hardware components Familiarity with regulated or compliance-driven environments Python or scripting experience for test automation Why Join Shyld AI Work on real hardware deployed in hospitals, not demos High ownership and direct impact on product reliability and customer success Small, fast-moving team with strong technical depth Opportunity to grow into Technical Operations or Hardware Lead roles over time

Are you passionate about AI and eager to make a significant impact in the cybersecurity space? Join us at our cutting-edge AI startup in the San Francisco Bay Area, where we are assembling a world-class team to tackle some of the most pressing challenges in cybersecurity. As a Senior AI Infrastructure Engineer, you will own the design, deployment, and scaling of our AI infrastructure and production pipelines. You'll bridge the gap between our AI research team and engineering organization, enabling the deployment of advanced LLM and ML models into secure, high-performance production systems. You will build APIs, automate workflows, optimize GPU clusters, and ensure our models perform reliably in real-world cybersecurity applications. This role is ideal for someone who thrives in a startup environment - hands-on, cross-functional, and driven to build world-class AI systems from the ground up. Why Join Us: $25M Seed Funding: We are well-funded, with $25 million raised in our seed round, giving us the resources to innovate and scale rapidly. Proven Early Success: We've already partnered with Fortune 500 companies, demonstrating market traction and trust in our AI-driven cybersecurity solutions. Experienced Leadership: Our founders are second- and third-time entrepreneurs with 25+ years in cybersecurity - having led companies to valuations exceeding $3B. World-Class Leadership Team: Heads of AI, Engineering, and Product come from top global tech companies, ensuring best-in-class mentorship and technical direction. Cutting-Edge AI Solutions: We leverage the most advanced AI technologies, including Large Language Models (LLMs), Generative AI, and intelligent inference systems. Generous Compensation: Competitive salary, meaningful equity, and a high-growth environment where your impact is recognized and rewarded. Cybersecurity Knowledge Preferred but Not Required: We value strong AI/ML and infrastructure engineering talent above all - cybersecurity expertise can be learned on the job. Key Responsibilities: Core (Mission-Critical) Own and manage the AI infrastructure stack - GPU clusters, vector databases, and model serving frameworks (vLLM, Triton, Ray, or similar). Productionize LLMs and ML models developed by the AI team, deploying them into secure, monitored, and scalable environments. Design and maintain REST/gRPC APIs for inference and automation, integrating tightly with the core cybersecurity platform. Collaborate closely with AI scientists, backend engineers, and DevOps to streamline deployment workflows and ensure production reliability. Infrastructure & Reliability Build and maintain infrastructure-as-code (IaC) setups using Terraform or Pulumi for reproducible environments. Implement observability and monitoring - latency, throughput, model drift, and uptime dashboards with Prometheus / Grafana / OpenTelemetry. Automate CI/CD pipelines for model training, validation, and deployment using GitHub Actions, ArgoCD, or similar tools. Architect scalable, hybrid AI systems across on-prem and cloud, enabling cost-effective compute scaling and fault tolerance. Security, Data, and Performance Enforce data privacy and compliance across AI pipelines (SOC2, encryption, access control, VPC isolation). Manage data and model artifacts, including versioning, lineage tracking, and storage for models, checkpoints, and embeddings. Optimize inference latency, GPU utilization, and throughput, using batching, caching, or quantization techniques. Build fallback and failover mechanisms to maintain service reliability in case of model or API failure. Innovation & Leadership Research and integrate emerging LLMOps and MLOps tools (e.g., LangGraph, Vertex AI, Ollama, Triton, Hugging Face TGI). Create sandbox environments for AI researchers to experiment safely. Lead cost optimization and capacity planning, forecasting GPU and cloud needs. Document and maintain runbooks, architecture diagrams, and standard operating procedures. Mentor junior engineers and contribute to a culture of operational excellence and continuous improvement. Qualifications: Required 5+ years of experience in ML Infrastructure, MLOps, or AI Platform Engineering. Proven expertise with LLM serving, distributed systems, and GPU orchestration (e.g., Kubernetes, Ray, or vLLM). Strong programming skills in Python and experience building APIs (FastAPI, Flask, gRPC). Proficiency with cloud platforms (Azure, AWS, or GCP) and IaC tools (Terraform, Pulumi). Solid understanding of CI/CD, Docker, containerization, and model registry practices. Experience implementing observability, monitoring, and fault-tolerant deployments. Preferred Familiarity with vector databases (FAISS, Pinecone, Weaviate, Qdrant). Exposure to security or compliance-focused environments. Experience with PyTorch / TensorFlow and MLflow / Weights & Biases. Knowledge of distributed training or large-scale inference optimization (DeepSpeed, TensorRT, Quantization). Prior work at startups or fast-paced R&D-to-production environments. Our Culture & Team Collaborative Environment: Join a fast-moving, innovation-driven startup where every engineer has a direct impact. World-Class Leadership: Mentorship from leaders with deep expertise in AI, ML, and cybersecurity. Growth Opportunities: Access to professional development, top-tier conferences, and bleeding-edge AI projects. Diversity and Inclusion: We believe that diverse perspectives drive stronger innovation. Perks & Benefits Comprehensive health, dental, and vision insurance. Wellness and professional development stipends. Equity options - share in the company's success. Access to the latest tools and GPUs for AI/ML development.

A leading network and security company is seeking an Engineering Sr Manager to lead a team building and operating distributed cloud services. The role requires over 10 years of software engineering experience, including significant leadership experience. The successful candidate will drive engineering best practices, ensure secure and scalable solutions, and collaborate across teams. This position is hybrid, allowing flexibility in work location, and offers an attractive salary range between $216,800 and $325,200, complemented by various benefits. #J-18808-Ljbffr

A leading semiconductor company in San Jose is seeking a Senior High-Speed Mixed-Signal Layout/Analog Engineer. In this role, you will collaborate with circuit designers, optimize performance for SERDES analog PHY, and utilize tools like Virtuoso and Calibre. Ideal candidates have a Bachelor's with extensive experience in RF/analog design. The position offers a competitive salary ranging from $180,950 to $289,050 USD and comprehensive benefits including medical, dental, and flexible work options. #J-18808-Ljbffr

Altera .Senior OSAT Engineer page is loaded## Senior OSAT Engineerlocations: San Jose, California, United Statestime type: Full timeposted on: Posted Yesterdayjob requisition id: R01840# **Job Details:**### ## **Job Description:****About Altera**Altera is a global leader in FPGA and programmable logic solutions, enabling innovation in data center, communications, automotive, aerospace, and industrial markets. As we expand manufacturing capabilities for next-generation programmable devices, we are strengthening our OSAT engineering organization to deliver world-class backend manufacturing performance.**Role Summary**We are seeking a highly skilled **Senior OSAT Engineer** to drive outsourced assembly and test engineering activities across Altera's global supplier network. You will lead NPI readiness, yield optimization, cost improvements, and qualification activity for packaging and test flows supporting Altera's FPGA/SoC product lineup. This role requires strong semiconductor backend engineering experience, hands-on problem solving, and the ability to collaborate closely with OSAT partners and cross-functional stakeholders.**Key Responsibilities*** Lead technical engagement with OSAT suppliers on assembly and test process development, yield ramp, quality improvement, and volume manufacturing readiness.* Drive new product introduction (NPI) from engineering builds through production release, ensuring OSAT capability meets electrical/thermal/mechanical requirements for FPGA and SoC products.* Optimize packaging and test architectures for performance, cost, and reliability: flip-chip BGA, high-pin-count packages, substrate technologies, wafer-level solutions, burn-in/FT coverage.* Monitor and improve backend yield performance using data-driven analysis; identify systemic issues and lead root cause / corrective actions.* Partner with Test Engineering, Packaging, Product Engineering, DFM, and Quality teams on process optimization, failure analysis, and manufacturability improvements.* Implement and maintain process control systems, SPC methodologies, automation improvements, and lean manufacturing principles at OSAT.* Support cost reduction initiatives including BOM optimization, process simplification, and cycle time improvements.* Track supplier performance metrics (yield, DPPM, cost, cycle time, OEE) and provide updates with risk assessments and mitigation plans.* Lead or support reliability testing and package qualification activities aligned to industry standards (JEDEC, IPC, AEC-Q).* Maintain strong technical relationship and communication cadence with OSAT partners to ensure transparency, collaboration, and escalation management.**Salary Range**The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.**$159,700 - $231,000 USD**We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations.### ## **Qualifications:****Minimum Requirements*** Bachelor's degree in Electrical Engineering, Materials Science, Mechanical Engineering, or related field.* 10+ years of semiconductor assembly, packaging, or test engineering experience.* Hands-on experience with OSAT manufacturing environments, including wafer finishing, substrate attach, interconnect packaging, test, and burn-in.* Strong technical understanding of backend manufacturing flows: flip-chip, wire bond, underfill, molding, final test, reliability stress and analysis.* Proven ability to analyze yield, reliability, and cost data to drive engineering decisions and improvements.* Demonstrated success working with international suppliers and cross-functional teams.* Strong written and verbal communication skills, including technical reporting and supplier engagement.******Preferred Qualifications*** FPGA, ASIC, or SoC backend experience, particularly high-pin-count or high-power devices.* Experience in automotive or high-reliability product qualifications (AEC-Q / ISO standards).* Familiarity with advanced packaging: 2.5D/3D, fan-out WLP, heterogeneous integration.* Knowledge of supply chain risk mitigation, dual sourcing, and volume scaling strategies.* Experience with automation, traceability systems, and smart factory/manufacturing analytics.### ## **Job Type:**Regular### ## **Shift:**Shift 1 (United States of America)### ## **Primary Location:**San Jose, California, United States### ## **Additional Locations:**### ## **Posting Statement:**All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. #J-18808-Ljbffr

A leading global semiconductor company in San Jose is seeking a Senior Electrical PCIe Engineer to craft and verify next-generation PCIe components. The ideal candidate will have a BS or MS in Electrical Engineering, expertise in PCIe protocols, and at least 5 years of experience in related roles. You will develop firmware, define device behavior, and collaborate with teams to ensure high-performance PCIe subsystems. This position offers competitive pay and rich benefits. #J-18808-Ljbffr

Compensation: $110-140K OTE About the Opportunity As a Solution Engineering Lead you'll play a critical role at the intersection of data, sales, and customer success. You'll own the pivotal data validation and technical demonstration processes, previously handled by senior executives, empowering faster sales cycles and stronger enterprise relationships. You'll bridge the gap between deep technical expertise and customer-facing communication, becoming the go-to expert for solving complex data challenges and shaping the future of our product. What You'll Do Technical Sales & Customer-Facing Responsibilities: Work directly with clients to ensure their data use cases are being adequately met, and solve data problems systematically. Become a trusted advisor by confidently communicating data nuances, capabilities, and insights to prospects and enterprise clients. Quickly master and articulate the nuances of payer-provider contracting, demonstrating how our solution directly addresses specific client needs. Data Validation & Analysis: Conduct rigorous data validations, comparing prospect-provided fee schedules with Trek Health's data warehouse. Identify, investigate, and resolve cases of "data not found," proactively finding solutions or providing credible alternatives to customers. Evaluate unique customer contracting scenarios (e.g., localized Medicare-based contracting), assessing data feasibility and creating tailored solutions. Technical & Process Improvement: Develop internal workflows to efficiently manage and prevent common data gaps and issues. Document data validation methodologies and findings, continuously improving repeatability and efficiency across processes. Enterprise Customer Success: Collaborate closely with enterprise customers post-sale on strategic data initiatives, including integration of utilization data or development of specialized datasets. Ideal Attributes: Highly analytical & detail-oriented: Passion for exploring complex datasets to uncover valuable insights. Exceptional communicator: Persuasive and clear presentation skills, able to simplify technical concepts to non-technical stakeholders without relying on filler language. Autonomous & proactive: Thrives with minimal supervision, consistently seeking and acting on opportunities for improvement. Speed & efficiency-oriented: Comfortable managing multiple projects simultaneously, with a constant focus on creating efficiencies. Skilled in project management: Ability to juggle multiple high-impact tasks, prioritizing effectively to meet deadlines and exceed expectations. About You: Excel expertise (9/10 proficiency). SQL proficiency (7/10 minimum) or demonstrated ability to learn quickly. Familiarity with Salesforce or similar CRM systems. Experience with healthcare claims processing preferred. Proven history of effectively presenting complex tools, strategies, or data insights in customer-facing settings. Join us in reshaping healthcare transparency. We look forward to connecting with driven, analytical individuals ready to make a meaningful impact.

Suffolk is a national enterprise that builds, innovates, and invests. We provide value across the entire project lifecycle through our core construction management services and complementary business lines in real estate investment, design, self-perform construction, and technology start-up investment (Suffolk Technologies). By integrating data, artificial intelligence, and advanced technology through our Seamless Platform, we connect design, construction, and operations to deliver smarter, more predictable results and redefine how America builds. Suffolk - America's Contractor - is a national company with more than $8 billion in annual revenue, 3,000 employees, and 17 offices, including Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, San Diego, Las Vegas, Herndon, U.S. Virgin Islands, and other key markets. Suffolk manages some of the most complex and transformative projects in the country, serving clients across healthcare, life sciences, education, gaming, aviation, transportation, government, mission critical, and commercial sectors. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR's list of “Top CM-at-Risk Contractors.” For more information, visit *************** and follow Suffolk on Facebook, Twitter, LinkedIn, YouTube, and Instagram. Position: Suffolk is currently seeking an Energy Marshall to implement learning, provide consistency, and drive rigor into energy isolation and electrical safety programs. Responsibilities: Reviewing the Electrical Energization Safety Program with the electrical contractor and commissioning authority Involvement with all stored energy systems - gas, water, steam, air. Organizing and scheduling Pre-Energization meetings Confirming individuals working on energized / de-energized equipment are Qualified Work based on NFPA 70E, OSHA, or an accepted qualified electrical safety training standard. Delivering a project specific Electrical Safety Orientation to employees who will be working on energized or de-energized equipment Reviewing the electrician's LOTO plan and verifying it is accurate and managed properly. Reviewing electrician and vendor AHA's. Confirming receipt of the approved coordination study and all arc flash labels have been applied to the equipment. Tracking and confirming all required QA/QC is complete and documentation has been submitted. Reviewing the daily Pre-Task Plan for energization activities. Implementing adequate communication to the project team that identifies daily high-risk activities, energized equipment and spaces, barriers, and off-limit spaces. Confirming all pre-energization steps have been completed. Conducting pre-energization daily walks with the electrician and project stakeholders. Performing end-of-day walks for electrical equipment to confirm all systems are secure. Confirming adherence to the LOTO plan and isolation requirements. Confirming adequate signage and barriers are installed for electrical rooms and spaces with energized equipment. Confirming an adequate access control plan is in place for electrical rooms and spaces with energized equipment. Qualifications: BA/BS + 5 years of related experience or demonstrated equivalency of experience and/or education Able to understand the safe installation of electrical equipment and various voltages, equipment types, and AC/DC systems Knowledge of pressurized mechanical lines, compressed gas and air. Experience in construction and electrical commissioning standards and practices. Experience communicating complex technical solutions and concepts to engineers and non-engineers. Ensure audit site practices against written standards as part of assurance role. Ability to Interpret line drawings and system redundancies to ensure design of LOTO systems are 100% effective and in compliance with customer standards. While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stand; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level. Job site walking. Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk.

Senior Mass Properties Engineer 2 weeks onsite in San Fran Bay Area, 2 weeks offsite (remote) a month for the first two months of the contract. 1 week a month onsite thereafter. Duration: 6 month contract with high likelihood of conversion to FTE or contract extension Engagement: W2 or 1099 Rates: Flexible - the client is focused on finding the right people and is therefore open to market rate. Overview The Staff Mass Properties Engineer provides essential technical support for the Weight and Balance program. This role is responsible for the rigorous tracking of aircraft mass distribution to ensure regulatory compliance and mission success. You will manage the lifecycle of mass data, from early-stage design through to FAA certification and delivery. Core Responsibilities Execute day-to-day mass properties program plans and maintain the master weight database. Generate comprehensive reports on Weight, Center of Gravity (CG), and Moments of Inertia. Interface with multi-disciplinary engineering teams to collect and validate structural and system mass data. Coordinate and participate in physical aircraft weighing operations and structural audits. Prepare technical documentation required for FAA weight and balance certification. Qualifications BS in Engineering (Aerospace/Mechanical preferred) or equivalent technical experience. 3+ years of experience in mass properties or aircraft systems. Strong understanding of Newtonian physics as applied to dynamic flight systems. Capable of performing physical inspections and hands-on technical data collection.

A financial services company is seeking a Distinguished AI Engineer in San Jose to develop and support AI-powered products that enhance customer interactions. The ideal candidate will have 8+ years of experience in AI development, expertise in programming languages like Python or Java, and a passion for leading scalable AI solutions on cloud platforms. This role offers a chance to work with cutting-edge AI technologies and make a significant impact in the banking sector. #J-18808-Ljbffr

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. At Cloudera, our Data Services Pillar is the heart of data innovation. We don't just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI. Cloudera Data Engineering is the next-generation cloud-native service that helps our customers run large-scale data engineering workflows made up of industry-standard big data processing frameworks like Apache Spark and Apache Airflow with just a few clicks, across both on-premises and public cloud environments. We are seeking a Staff Engineer with a strong technical background in data infrastructure space to lead the Cloudera Data Engineering experience for all customers using Cloudera Data Engineering Spark and Airflow. This high-impact IC role offers the opportunity to shape the future of Cloudera's Data Engineering space across multiple cloud environments, impacting thousands of customers worldwide. As a Senior Staff Engineer in the Cloudera Data Engineering space, you will: Gain deep technical knowledge across the Cloudera Data Engineering technical stack, with a focus on Spark and Airflow, and apply this expertise in your daily work. Work with a team of talented infrastructure engineers. Help hire and mentor engineers while supporting their career growth. Drive architecture and design discussions, providing strong technical direction for the team. Collaborate with product, engineering, and cross-functional partners, leading the delivery of several large, critical features in Cloudera's data engineering experience. Work on large-scale distributed systems, ranging from hundreds to thousands of nodes in production clusters. Bring passion for programming, clean coding practices, attention to detail, and a strong focus on quality. We are excited about you if you have: Relevant studies / BS or MS in Computer Science or related field 5+ years experience as a Software Engineer in infrastructure space Strong understanding of at least one of the following languages: Java, Scala, C++, Python. And interested to learn the languages we're using. Passionate about programming, clean coding habits, attention to detail, and focus on quality Excellent communication and collaboration skills (Most importantly) Open-minded attitude, desire to learn new things and build great products It's a plus if you have: Experience with public cloud (AWS/Azure/GCP) and/or private cloud (OpenShift/Rancher) Experience with containerization (Kubernetes, Docker). Strong understanding of distributed systems and building systems at scale. This role is not eligible for immigration sponsorship. Why this role matters: This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You'll work with cutting-edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value in their data. We believe in the power of open source. You'll collaborate with project committers, contributing upstream to keep technologies like Apache Hive and Impala evolving. You'll harden these engines for rock-solid security, optimize them for peak performance, and make them effortlessly run across all environments. Join us and help build the trusted, cloud-native platform that powers insights for the most data-intensive companies on the planet. What you can expect from us: Generous PTO Policy Support work life balance with Unplugged Days Flexible WFH Policy Mental & Physical Wellness programs Phone and Internet Reimbursement program Access to Continued Career Development Comprehensive Benefits and Competitive Packages Paid Volunteer Time Employee Resource Groups EEO/VEVRAA #LI-BV1 #LI-HBRID

FLSA Status: Exempt Department: Information Technology Reports To: Director, Infrastructure and Systems Support Employee Unit: Employees in this classification are represented by Service Employees International Union (SEIU) Local No. 521 The Systems Database Administrator is responsible for database security, integrity, performance, availability, and recoverability of databases, database servers, and related systems. In addition, the Systems Database Administrator is responsible for installing, configuring, and maintaining database servers, databases, related objects, and related software and for database security in support of SCFHP objectives and regulatory compliance. ESSENTIAL DUTIES AND RESPONSIBILITIES To perform this job successfully, an individual must be able to perform each essential duty listed below satisfactorily. * Provide technical management and support for the organization's database environments to ensure database security, integrity, performance, availability and recoverability of databases, database servers, and related systems. * Develop, implement, and periodically test backup and recovery plan for the production of critical databases to ensure the business continuity plan is accurate and effective. * Ensure database security by controlling access to databases through authentication and authorization and performing auditing of database usage and active users. * Audit database security and user access to ensure HIPPA regulatory law reporting requirements are met. * Monitor database server resources to ensure production environments meet performance and availability requirements. * Install, test, secure and maintain new versions of database software, patches and other associated software application changes or upgrades. * Provide storage and capacity planning, long and short term, to ensure adequate space is available for all database environments. * Document database architecture, including developing and maintaining database installation and configuration procedures, data governance program, change control deployment procedures, and SQL coding guidelines. * Work with the application development team to ensure that appropriate and efficient SQL is coded and tested prior to production deployment. * Perform other related duties as required or assigned. REQUIREMENTS - Required (R) Desired (D) The requirements listed below are representative of the knowledge, skill, and/or ability required or desired. * Bachelor's Degree in Computer Science, or related field, or equivalent experience, training or coursework. (R) * Minimum three years of experience serving as a systems database administrator in a Microsoft SQL Server environment with versions currently supported by Microsoft. (R) * Microsoft Certified Solutions Expert (MCSE). (D) * Minimum three years of experience maintaining multiple database environments and regions to support production, development and test areas of business systems; including managing database security, database tuning, query optimization, and application code deployment. (R) * Minimum three years of experience SQL Scripting and Command Shell scripting. (R) * Minimum three years of experience with any of the following applicable languages/platforms: .NET, PERL, Java, SAS, VB, C++, or other modern programming language or related software. (R) * Minimum three years of experience with MS SQL Business Intelligence tools (SSRS, SSIS, SSAS) or other enterprise business intelligence software. (R) * Experience maintaining a data warehouse database environment, including managing and enforcing data governance and coding best practice. (R) * Ability to create and maintain documentation of source code, application installation processes, technical specifications, and data governance program. (R) * Working knowledge of and the ability to efficiently operate all applicable computer software including computer applications such as Outlook, Word and Excel. (R) * Ability to use a keyboard with moderate speed and a high level of accuracy. (R) * Excellent communication skills including the ability to express oneself clearly and concisely when providing service to SCFHP internal departments, providers and outside entities over the telephone, in person or in writing. (R) * Ability to think and work effectively under pressure and accurately prioritize and complete tasks within established timeframes. (R) * Ability to assume responsibility and exercise good judgment when making decisions within the scope of the position. (R) * Ability to maintain confidentiality. (R) * Ability to comply with SCFHP's policies and procedures. (R) * Ability to perform the job safely with respect to others, to property, and to individual safety. (R) WORKING CONDITIONS Generally, duties are primarily performed in an office environment while sitting or standing at a desk. Incumbents are subject to frequent contact with and interruptions by co-workers, supervisors, and plan members or providers in person, by telephone, and by work-related electronic communications. PHYSICAL REQUIREMENTS Incumbents must be able to perform the essential functions of this job, with or without reasonable accommodation: * Mobility Requirements: regular bending at the waist, and reaching overhead, above the shoulders and horizontally, to retrieve and store files and supplies and sit or stand for extended periods of time; (R) * Lifting Requirements: regularly lift and carry files, notebooks, and office supplies that may weigh up to 5 pounds; (R) * Visual Requirements: ability to read information in printed materials and on a computer screen; perform close-up work; clarity of vision is required at 20 inches or less; (R) * Dexterity Requirements: regular use of hands, wrists, and finger movements; ability to perform repetitive motion (keyboard); writing (note-taking); ability to operate a computer keyboard and other office equipment (R) * Hearing/Talking Requirements: ability to hear normal speech, hear and talk to exchange information in person and on telephone; (R) * Reasoning Requirements: ability to think and work effectively under pressure; ability to effectively serve customers; decision making, maintain a concentrated level of attention to information communicated in person and by telephone throughout a typical workday; attention to detail. (R) ENVIRONMENTAL CONDITIONS General office conditions. May be exposed to moderate noise levels.

Team Description The TIGE CDN Platform Dev team provides a highly available, cost-efficient, and top-performing global multi-cloud CDN platform for ByteDance's internal customers by integrating both self-built and commercial CDNs. The team continuously evolves the platform to include more cloud services beyond CDN, delivering a unified, secure, reliable, and high-performance multi-cloud PaaS solution. We are now expanding our capabilities by integrating AI-driven solutions to significantly enhance platform automation, configuration, and intelligent incident management. Job Description 1. Participate in exploring, designing, and developing AI-powered solutions for intelligent log analysis, root cause analysis (RCA), and automated troubleshooting to enhance platform reliability and reduce MTTR. 2. Contribute to designing and implementing AI-driven multi-cloud configuration assistants, enabling intuitive and automated interfaces for platform configuration and customer self-service scenarios. 3. Work closely with senior engineers, product managers, and operations teams to identify business pain points and apply AI technologies to deliver rapid, tangible improvements. 4. Assist in optimizing AI model inference performance and deployment efficiency within a cloud-native, edge computing environment. Minimum Qualifications: 1. Bachelor's or Master's degree in Computer Science, Electronics, Communication, Artificial Intelligence, or related fields. 2. Strong programming skills, proficient in Python, and familiarity with at least one deep learning framework such as PyTorch, TensorFlow, or JAX. 3. Academic or project-based experience with AI model deployment and optimization, especially large language models (LLMs), vector databases, RAG techniques, or prompt engineering. 4. Basic understanding of distributed systems, cloud-native technologies, and Kubernetes-based infrastructure. 5. Excellent analytical and problem-solving skills, with coursework or projects demonstrating the application of data-driven AI solutions. 6. Strong communication and teamwork abilities, comfortable collaborating across diverse teams. Preferred Qualifications 1. Internship experience or academic projects related to AI solutions within CDN, edge computing, or multi-cloud platforms. 2. Familiarity with log analytics platforms (e.g., Prometheus, ClickHouse, ELK) or automated incident management systems. 3. Experience with infrastructure-as-code tools (Terraform, OpenAPI) or automation frameworks. 4. Coursework or projects in MLOps practices or using deployment tools such as Kubeflow, Ray, or BentoML.

San Jose Exp 2-5 years Deg Bachelors Relo Bonus Job Description Primary Job Responsibilities This is an 12 hour shift (6:30am - 6:30PM PST) role. Will be on for multiple shifts, and then have multiple days off. • Manage and monitor systems to drive troubleshooting and tuning • First and second tier resolution of production issues and alerts • Understand all components of the eBay site infrastructure in order to analyze impact of alarms and other system messages • Work with external teams to diagnose complex problems and drive resolution • Utilize industry standard and custom tools to diagnose and resolve production issues • Resolve errors and alarms quickly and provide timely escalation • Complete tasks required to maintain service levels and availability of all site features and functions • Help lead development efforts, especially in tools and automation projects • Perform Systems Engineering Tasks as needed • Coordinate with vendors and assist in hardware replacements. • At all times ensure efficient and reliable website Job Requirements • 5+ years of Unix Systems Engineering Experience • Ability to manage and troubleshoot large scale systems and high transaction web operations environments • Passionate about Operations - you like to make things run and fix them when they break • Ability to work on many tasks simultaneously in a high-pressure environment • Willing to work in a shift model during the day, 12 hours a shift, multiple shifts in a row • Experienced with large and distributed systems like cloud computing (Hadoop,) web services, multi-tier serving architectures etc. • Knowledge of common system administration tools, Networking (LAN and WAN,) Unix, Windows, Load balancers, DNS, TCP/IP and Storage technologies • Advanced working experience with scripting especially in creating tools to automate repetitive tasks • Familiarity on clustering concepts especially VERITAS • Advanced knowledge of Perl, PHP, Python or Ruby • Be familiar with Agile software development practices • Production experience with large scale system deployment and configuration tools • Proven problem solving skills with an emphasis on quick problem resolution • Excellent verbal, written and documentation skills Education Bachelors Degree or Equivalent Additional Information All your information will be kept confidential according to EEO guidelines. Direct Staffing Inc

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE PERSON: We are seeking a DevOps / Platform Engineer to join our team building and operating large-scale GPU compute infrastructure that powers AI and ML workloads. The ideal candidate should be passionate about software engineering and possess leadership skills to independently deliver on multi-quarter projects. They should be able to caommunicate effectively and work optimally with their peers within our larger organization. Finally, you aren't afraid of a team in more of a startup mode at a larger company and willing to jump in to help in areas adjacent to your main project as needed. Key Responsibilities * Build and extend platform capabilities to enable new classes of workloads (e.g., interactive development pods, CI pipelines, inference services, benchmarking jobs). * Design and operate scalable orchestration systems using Kubernetes across both on-prem and multi-cloud environments. * Develop platform features such as secret management, configuration management, and deployment automation for customers. * Partner with development teams to extend the GPU developer platform with features, APIs, templates, and self-service workflows that streamline job orchestration and environment management. * Manage service lifecycle within Kubernetes using Helm and GitOps workflows (e.g., ArgoCD or Flux). * Apply expertise in storage and networking to design and integrate CSI drivers, persistent volumes, and network policies that enable high-performance GPU workloads. Required Qualifications * 5+ years of experience in DevOps, Platform, or Infrastructure Engineering. * Deep hands-on experience with Kubernetes and container orchestration at scale. * Proven ability to design and deliver platform features that serve internal customers or developer teams * Experience building developer-facing platforms or internal developer portals (e.g.custom workflow tooling). Nice to Have * Hands-on experience in storage or network engineering within Kubernetes environments (e.g., CSI drivers, dynamic provisioning, CNI plugins, or network policy). * Experience with Infrastructure as Code tools like Terraform. * Background in HPC, Slurm, or GPU-based compute systems for ML/AI workloads. * Practical experience with monitoring and observability tools (Prometheus, Grafana, Loki, etc.). * Understanding of machine learning frameworks (PyTorch, vLLM, SGLang, etc.). #LI-G11 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.

The System Intelligence and Machine Learning (SIML) team at Apple is seeking a Machine Learning Engineer with a strong background in deep learning. This role focuses on enhancing the ecosystem of tools used in the machine learning pipeline, particularly in the areas of large -scale model training and compression for on -device deployment. The position requires at least 5 years of industry experience in machine learning, expertise in PyTorch, knowledge of scalable distributed systems, and proficiency in Python and C/C++. The engineer will contribute to the development of machine learning technologies that impact millions of users and will work on tasks ranging from software development to system administration. An M. S. or Ph. D. in Electrical Engineering, Computer Science, or a related field is preferred, and familiarity with computer vision and GPU programming is a valuable plus. The base pay for this role ranges from $170,700 to $300,200, with additional benefits including medical coverage, retirement benefits, and stock programs. If you are passionate about leveraging deep learning to transform technology and have a strong analytical and problem -solving mindset, this role offers an opportunity to contribute to groundbreaking projects at Apple.

Job Details:Job Description: We are seeking an experienced Virtualization and Cloud Platform Engineer with a strong IT infrastructure background. The ideal candidate will have extensive experience (5+ years) managing and optimizing cloud and on-premises environments using Azure Local, Hyper-V, Windows Server OS, SQL databases, file share services, and SUSE Linux. Proficiency in scripting, monitoring solutions, and Windows SCCM administration is essential. Responsibilities: Design, implement, and maintain virtualized infrastructure leveraging Hyper-V and Azure Stack HCI (Azure Local). Manage and optimize Windows Server OS environments, ensuring system performance, reliability, and security. Administer SQL Server databases, including maintenance, backups, tuning, and troubleshooting. Configure and maintain enterprise file-sharing services, ensuring secure and efficient data access. Manage and support SUSE Linux environments within mixed OS landscapes. Develop automation scripts (PowerShell, Bash) to streamline infrastructure provisioning, deployment, monitoring, and maintenance. Implement and maintain comprehensive infrastructure monitoring solutions, proactively addressing system performance issues. Administer Windows System Center Configuration Manager (SCCM), including deployment, patch management, inventory, and reporting. Collaborate with IT teams to architect scalable, secure, and efficient solutions aligned with business requirements. Provide advanced troubleshooting and support for infrastructure-related issues, escalating when necessary. Salary Range Our compensation reflects the cost of labor within the US market. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. $159.7k - $231.2k USD #LI-CG1 Qualifications: Minimum Qualifications Bachelor's Degree in Computer Science, Information Technology, or a related technical discipline, or equivalent professional experience. 5+ years of experience in virtualization and cloud platforms, specifically with Azure Local and Hyper-V. Strong proficiency in managing Windows Server Operating Systems and related services. Hands-on experience managing SQL Server databases and file share solutions. Demonstrable experience with SUSE Linux administration in hybrid environments. Expert-level scripting skills (PowerShell, Bash, etc.) for automation and management. Proven ability to deploy and manage monitoring tools and solutions (e.g., Azure Monitor, Nagios, Zabbix, or similar). Extensive knowledge and experience with Windows SCCM for systems deployment, patching, and configuration management. Excellent analytical, troubleshooting, and problem-solving skills. Effective communication skills and ability to work collaboratively within cross-functional teams. Preferred Qualifications Relevant industry certifications (e.g., Microsoft Azure certifications, MCSE, Linux certifications). Experience with hybrid cloud environments and migrations. Knowledge of container technologies (Docker, Kubernetes) and DevOps practices. Job Type: RegularShift:Shift 1 (United States of America) Primary Location:San Jose, California, United StatesAdditional Locations:Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.