Advanced engineer jobs in Fremont, CA

Machine Learning Research Engineer - Video Intelligence - Up to $250k A Series A Funded start-up who already have millions in recurring revenue are building next-generation AI infrastructure for video intelligence are looking for an Applied Research Engineer to join their team. What You'll Be Doing Build high-performance video understanding systems and large-scale processing pipelines Tackle ambiguous research problems with creative technical solutions Optimize model performance through clever pre/post-processing, parallelism, and inference optimization Work directly with customers and external teams to deliver end-to-end video intelligence products Collaborate with leading AI video labs on cutting-edge applications What We're Looking For 3+ years experience in computer vision or audio processing Strong Python skills with PyTorch or similar ML frameworks Excellent communication abilities, especially customer-facing Clean, maintainable coding practices Product-minded approach - you want to build complete solutions, not just train models Early startup experience is a plus What's In It For You: Competitive salary up to $250k Small, high-impact team with significant growth trajectory Opportunity to work with top AI video labs and collect world-class datasets Apply now for immediate consideration!

As a Site Reliability Engineer (Contractor), you will be a hands-on contributor, focused on supporting and improving the reliability of our AWS cloud infrastructure. You will apply core SRE principles to automate operational tasks, monitor system health, and participate in incident response. This role is execution-focused, supporting the senior team in ensuring our services are available and performant while maintaining an awareness of healthcare compliance standards. The contract extension beyond 3 months will be on the need basis. Key Responsibilities (Contract Deliverables) Cloud Infrastructure Execution & Maintenance: Assist in deploying, configuring, and maintaining highly available AWS infrastructure components. Execute Infrastructure as Code (IaC) changes using tools like Terraform to provision and configure resources. Support the operations and maintenance of existing containerized applications running on platforms like Kubernetes and Docker. AWS Networking Support: Assist the senior team in maintaining the security and efficiency of our core AWS network topologies (e.g., VPCs, subnets, routing). Perform basic configuration and maintenance of cloud load balancing (ALB/NLB) and DNS services (Route 53). Support the enforcement of network security policies and assist in routine network troubleshooting for connectivity or latency issues. Site Reliability & Automation: Identify and automate routine manual operational tasks using scripting (Python/Bash) to improve efficiency and reduce toil. Participate in blameless post-mortems and incident response efforts, focusing on documenting steps taken and assisting with root cause analysis. Contribute to the documentation and adherence of established Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Monitoring & Compliance: Maintain and use existing monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK stack) to ensure system health. Assist in managing and verifying CI/CD pipelines to ensure safe and efficient software releases. Support compliance efforts by ensuring operational procedures align with security best practices and regulatory requirements (HIPAA, SOC 2). Required Qualifications 8+ years of hands-on experience in a DevOps, Cloud Engineering, or SRE-focused technical role. Solid practical experience with AWS cloud provider services. Hands-on experience with Linux administration and troubleshooting. Proficiency in scripting languages such as Python, Bash, etc for automation. Solid experience with Infrastructure as Code tools such as Terraform. Experience with containerization technologies such as Docker and Kubernetes. Experience with monitoring systems like Prometheus, Grafana, AWS Cloud Watch. Experience with writing SQLs on PostgreSQL DB. Working understanding of core networking principles (VPC, routing, load balancing). Basic understanding of security and compliance requirements in a regulated industry (e.g., healthcare, finance). Preferred Qualifications Relevant certifications such as AWS Certified SysOps Administrator or AWS Certified Developer. Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI). Compensation: $72 - $90 per hour ID#: 2508

Role: Staff Machine Learning Engineer Duration: Long-term Mode of Interview: Virtual & Final In-person Why this role exists We're building privacy‐preserving LLM capabilities that help hardware design teams reason over Verilog/SystemVerilog and RTL artifacts-code generation, refactoring, lint explanation, constraint translation, and spec‐to‐RTL assistance. We're looking for a Staff‐level engineer to technically lead a small, high‐leverage team that fine‐tunes and productizes LLMs for these workflows in a strict enterprise data‐privacy environment. You don't need to be a Verilog/RTL expert to start; curiosity, drive, and deep LLM craftsmanship matter most. Any HDL/EDA fluency is a strong plus. What you'll do (Responsibilities) • Own the technical roadmap for Verilog/RTL‐focused LLM capabilities-from model selection and adaptation to evaluation, deployment, and continuous improvement. • Lead a hands‐on team of applied scientists/engineers: set direction, unblock technically, review designs/code, and raise the bar on experimentation velocity and reliability. • Fine‐tune and customize models using state‐of‐the‐art techniques (LoRA/QLoRA, PEFT, instruction tuning, preference optimization/RLAIF) with robust HDL‐specific evals: o Compile‐/lint‐/simulate‐based pass rates, pass@k for code generation, constrained decoding to enforce syntax, and "does‐it‐synthesize” checks. • Design privacy‐first ML pipelines on AWS: o Training/customization and hosting using Amazon Bedrock (including Anthropic models) where appropriate; SageMaker (or EKS + KServe/Triton/DJL) for bespoke training needs. o Artifacts in S3 with KMS CMKs; isolated VPC subnets & PrivateLink (including Bedrock VPC endpoints), IAM least‐privilege, CloudTrail auditing, and Secrets Manager for credentials. o Enforce encryption in transit/at rest, data minimization, no public egress for customer/RTL corpora. • Stand up dependable model serving: Bedrock model invocation where it fits, and/or low‐latency self‐hosted inference (vLLM/TensorRT‐LLM), autoscaling, and canary/blue‐green rollouts. • Build an evaluation culture: automatic regression suites that run HDL compilers/simulators, measure behavioral fidelity, and detect hallucinations/constraint violations; model cards and experiment tracking (MLflow/Weights & Biases). • Partner deeply with hardware design, CAD/EDA, Security, and Legal to source/prepare datasets (anonymization, redaction, licensing), define acceptance gates, and meet compliance requirements. • Drive productization: integrate LLMs with internal developer tools (IDEs/plug‐ins, code review bots, CI), retrieval (RAG) over internal HDL repos/specs, and safe tool‐use/function‐calling. • Mentor & uplevel: coach ICs on LLM best practices, reproducible training, critical paper reading, and building secure‐by‐default systems. What you'll bring (Minimum qualifications) • 10+ years total engineering experience with 5+ years in ML/AI or large‐scale distributed systems; 3+ years working directly with transformers/LLMs. • Proven track record shipping LLM‐powered features in production and leading ambiguous, cross‐functional initiatives at Staff level. • Deep hands‐on skill with PyTorch, Hugging Face Transformers/PEFT/TRL, distributed training (DeepSpeed/FSDP), quantization‐aware fine‐tuning (LoRA/QLoRA), and constrained/grammar‐guided decoding. • AWS expertise to design and defend secure enterprise deployments, including: o Amazon Bedrock (model selection, Anthropic model usage, model customization, Guardrails, Knowledge Bases, Bedrock runtime APIs, VPC endpoints) o SageMaker (Training, Inference, Pipelines), S3, EC2/EKS/ECR, VPC/Subnets/Security Groups, IAM, KMS, PrivateLink, CloudWatch/CloudTrail, Step Functions, Batch, Secrets Manager. • Strong software engineering fundamentals: testing, CI/CD, observability, performance tuning; Python a must (bonus for Go/Java/C++). • Demonstrated ability to set technical vision and influence across teams; excellent written and verbal communication for execs and engineers. Nice to have (Preferred qualifications) • Familiarity with Verilog/SystemVerilog/RTL workflows: lint, synthesis, timing closure, simulation, formal, test benches, and EDA tools (Synopsys/Cadence/Mentor). • Experience integrating static analysis/AST‐aware tokenization for code models or grammar‐constrained decoding. • RAG at scale over code/specs (vector stores, chunking strategies), tool‐use/function‐calling for code transformation. • Inference optimization: TensorRT‐LLM, KV‐cache optimization, speculative decoding; throughput/latency trade‐offs at batch and token levels. • Model governance/safety in the enterprise: model cards, red‐teaming, secure eval data handling; exposure to SOC2/ISO 27001/NIST frameworks. • Data anonymization, DLP scanning, and code de‐identification to protect IP. What success looks like 90 days • Baseline an HDL‐aware eval harness that compiles/simulates; establish secure AWS training & serving environments (VPC‐only, KMS‐backed, no public egress). • Ship an initial fine‐tuned/customized model with measurable gains vs. base (e.g., +X% compile‐pass rate, −Y% lint findings per K LOC generated). 180 days • Expand customization/training coverage (Bedrock for managed FMs including Anthropic; SageMaker/EKS for bespoke/open models). • Add constrained decoding + retrieval over internal design specs; productionize inference with SLOs (p95 latency, availability) and audited rollout to pilot hardware teams. 12 months • Demonstrably reduce review/iteration cycles for RTL tasks with clear metrics (defect reduction, time‐to‐lint‐clean, % auto‐fix suggestions accepted), and a stable MLOps path for continuous improvement. How we work (Security & privacy by design) • Customer and internal design data remain within private AWS VPCs; access via IAM roles and audited by CloudTrail; all artifacts encrypted with KMS. • No public internet calls for sensitive workloads; Bedrock access via VPC interface endpoints/PrivateLink with endpoint policies; SageMaker and/or EKS run in private subnets. • Data pipelines enforce minimization, tagging, retention windows, and reproducibility; DLP scanning and redaction are first‐class steps. • We produce model cards, data lineage, and evaluation artifacts for every release. Tech you'll touch • Modeling: PyTorch, HF Transformers/PEFT/TRL, DeepSpeed/FSDP, vLLM, TensorRT‐LLM • AWS & MLOps: Amazon Bedrock (Anthropic and other FMs, Guardrails, Knowledge Bases, Runtime APIs), SageMaker (Training/Inference/Pipelines), MLflow/W&B, ECR, EKS/KServe/Triton, Step Functions • Platform/Security: S3 + KMS, IAM, VPC/PrivateLink (incl. Bedrock), CloudWatch/CloudTrail, Secrets Manager • Tooling (nice to have): HDL toolchains for compile/simulate/lint, vector stores (pgvector/OpenSearch), GitHub/GitLab CI

Our Mission At Palo Alto Networks everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We believe collaboration thrives in person. That's why most of our teams work from the office full time, with flexibility when it's needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Description Your Career You will join a dynamic and fast-paced team of seasoned fellow engineers designing and developing multi-tiered applications in a rapidly growing company. As a Principal AI Engineer, you will leverage your extensive experience to act as the trailblazer, helping us build and innovate enterprise-grade full-stack systems with a specific focus on Generative AI transformation. We are looking for a highly hands-on, extremely technical leader to architect the next generation of our internal and external business applications. You will move beyond traditional software engineering to design intelligent, agentic workflows that revolutionize our Go-To-Market (GTM) processes. Your Impact Lead the architecture and implementation of a Proxy-First "AI Gateway" intermediary layer to ensure seamless LLM vendor independence. Design and build a unified API endpoint to abstract LLM complexities and provide centralized control for access and security. Implement comprehensive GenAI observability pipelines to track trace-level data, prompt inputs/outputs, and model latency. Create architecture to optimize performance and expense by intelligently routing simpler queries to cost-effective models. Integrate observability data into the development cycle to identify real-time bottlenecks, high-latency chains, and model drift. Institute and promote innovative thinking by incorporating Agentic AI, designing sophisticated Multi-Agent Systems and Agent-to-Agent (A2A) workflows. Apply GenAI to complex Go-To-Market (GTM) business logic, automating critical workflows like customer support and entitlement platforms. Pioneer "LLM as a Judge" testing methodologies to automate quality assurance of system outputs (correctness, tone, and helpfulness). Build robust guardrails to filter inputs and outputs, preventing PII exposure, offensive content, and prompt injection attacks. Develop detection mechanisms, including keyword filtering, behavioral analysis, and adversarial training, to protect model instructions from manipulation. Qualifications Your Experience 10+ years of overall IT system architecture, design, development, and deployment experience. Proven track record leading technical teams in Agile/Scrum environments for large-scale implementations with aggressive timelines. Experience partnering with business stakeholders to design workflows for Go-To-Market (GTM), sales, or support operations. Bachelor's degree or equivalent in Computer Science or a related field. Strong verbal and written communication skills with the ability to explain complex AI concepts to senior leadership. Extensive knowledge in building modern applications using Large Language Models (LLMs) such as Llama 3, GPT-4, and Anthropic. Deep experience building and maintaining highly observable GenAI systems, including proficiency with tracing and evaluation tools (e.g., LangSmith, Arize, HoneyHive, or custom OpenTelemetry). Deep experience with Multi-Agent systems, Agent-to-Agent (A2A) communication, and orchestration frameworks. Experience establishing "Golden Datasets" for ground truth testing and performing comparative analysis across different models. Expert-level proficiency in Python; familiarity with Java or Node.js for enterprise integration is a plus. Additional Information The Team Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You'll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $167000 - $270500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We're problem solvers that take risks and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

Silicon Design Package Engineer Contract This role is highly specialized in semiconductor packaging design, requiring strong EDA tool proficiency and knowledge of advanced packaging technologies Tools & Knowledge: Mentor/Siemens and Cadence tools (especially for Package Layout Automation - PLA). Technical Expertise: Multi-layer package design experience. Understanding of substrate manufacturing Design Rules and Assembly Rules. Familiarity with SIPI (Signal Integrity & Power Integrity) Rules. Flip-chip package design concepts

Our client is a well-funded, product-focused AI startup building next-generation systems that help organizations capture, organize, and leverage their internal knowledge at scale. Their platform blends modern machine learning, intelligent data pipelines, and context-aware models to make teams more effective, faster, and dramatically more aligned. They're growing quickly and looking for engineers with strong CS fundamentals and a passion for building ML systems that operate in the real world, not just in research settings. If you're energized by early-stage ownership and solving hard problems that matter, you'll thrive here. What You'll Work On Designing and shipping ML components end-to-end: training pipelines, data ingestion, evaluation, optimization, and deployment Building models and services that learn from unstructured signals (text, docs, conversations, workflows) and surface actionable insights Transforming research concepts into scalable production systems used by enterprise customers Architecting efficient, privacy-conscious model-serving infrastructure Collaborating across engineering, product, and research to rapidly experiment and iterate Owning technical decisions in a fast-paced environment where craftsmanship and velocity both matter Who Thrives Here Engineers with strong computer science foundations (algorithms, systems, distributed computing, data structures) Builders with experience in ML frameworks (PyTorch, TensorFlow, JAX) and modern backend systems Candidates coming from top CS programs or AI-first startups where they've shipped real, user-facing ML/AI features People who enjoy working in ambiguous, zero-to-one environments and want significant ownership Curious thinkers who care about model performance, reliability, and how their work impacts real users Bonus skills (not required): experience with LLMs, embeddings, personalization models, agentic workflows, or model evaluation at scale Why This Role Is Compelling You'll build foundational AI systems at a moment where the company is scaling quickly Your work will directly shape how customers interact with and benefit from AI You'll partner closely with experienced founders and senior engineers who value autonomy and deep thinking You'll have room to experiment, influence architecture, and meaningfully impact technical direction You'll join early enough to feel the upside, but after core customer traction is already proven What's On Offer A high-ownership engineering role with scope to grow into senior or staff pathways A culture that balances speed with thoughtful engineering Mission-driven work with clear real-world utility Competitive compensation, strong equity, and flexibility in how you build If you're excited by the idea of building intelligent systems that help real teams work smarter, and you want your engineering decisions to matter, we'd love to talk.

*** PLEASE APPLY AT *************************************** *** Citizens and permanent residents only - we do not sponsor and cannot hire non-citizens or PRs. We work 6 days a week in the office in downtown San Francisco, no remote available. What is Aurelius Systems? Aurelius Systems is a directed energy company developing edge-deployed laser systems for cUAS applications We shoot down drones with laser guns Why? The US and our allies have prepared for a world where we will be fighting increasingly large and sophisticated systems (Planes, Aircraft carriers, etc), but this world never came. The future of warfare will involve large numbers of small-scale and mass-manufacturable drones, and we aren't prepared to defend our country from these threats abroad or domestically. Aurelius Systems has set out to address this problem by equipping the US and our allies with the systems they need to fight current and future conflicts in a scalable and cost-effective manner. Job Description We are seeking an experienced Senior Laser Systems Engineer to architect, develop, and validate beam‑delivery and targeting subsystems for our next‑generation defense laser platforms. You will lead end‑to‑end beam‑train design, automated aiming, and materials‑testing efforts across pulsed and CW regimes, progressing from lab prototype to field‑deployed hardware. Key Responsibilities ● Beam‑Train Architecture & Assembly: Design and assemble the end‑to‑end optical path-including coatings, mirrors, fiber/optics interfaces, and alignment fixtures-to meet power and beam‑quality specifications. ● Automated Aiming & Targeting: Develop and integrate laser‑aiming subsystems, combining optomechanics and control‑system hooks for precision tracking and dwell control. ● Ablation & Damage‑Threshold Testing: Plan and execute material ablation experiments, characterize damage thresholds, and iterate on optical and mechanical designs to optimize performance and durability. ● Laser Trade Studies: Conduct comparative analyses of various laser operation, leading wavelength‑selection campaigns considering efficacy, safety, and supply‑chain constraints. ● Cross‑Functional Collaboration: Partner with controls, mechanical, and sensor teams to synchronize beam outputs with targeting data and ensure system‑level integration. ● Prototype Iteration & Field Trials: Drive rapid bench‑prototype builds through range‑testing cycles (dry‑runs, live engagements), capturing performance data to refine optical and mechanical designs. ● Documentation & Reporting: Produce comprehensive technical reports, optical alignment procedures, and test‑plan documentation; present findings to stakeholders and update design specifications accordingly. Qualifications ● Hyper Engineer - your brain only releases dopamine when you're building ● Experience: 4-7 years in high‑power or directed‑energy laser development, optical‑train engineering, or related fields. ● Deep expertise in optical design software (Zemax, Code V) and CAD tools (SolidWorks, Creo). ● Hands‑on experience with high‑power coatings, mirror mounts, and fiber‑optic interfaces. ● Proven track record of ablation testing and damage‑threshold characterization. ● Familiarity with both pulsed and CW laser architectures, wavelength trade‑offs, and safety standards. ● Education: BS/MS in Optical Engineering, Physics, Electrical Engineering, or related discipline. ● Soft Skills: Strong analytical mindset, collaborative communication, and problem‑solving under experimental constraints. Nice‑to‑Haves ● Field‑deployed laser systems experience (DoD or industrial optics). ● Background in optical fiber handling and splice qualification. ● Experience with environmental qualification testing (vibration, thermal shock). ● Familiarity with laser safety (ANSI Z136) and ITAR regulations.

This role is highly specialized in semiconductor packaging design, requiring strong EDA tool proficiency and knowledge of advanced packaging technologies. Responsibilities: Tools & Knowledge: Mentor/Siemens and Cadence tools (especially for Package Layout Automation - PLA). Technical Expertise: Multi-layer package design experience. Understanding of substrate manufacturing Design Rules and Assembly Rules. Familiarity with SIPI (Signal Integrity & Power Integrity) Rules. Flip-chip package design concepts. Tasks: Perform point-to-point connections. Run DRC (Design Rule Checks), identify root causes, and fix issues. Execute design based on provided schematics, including component placement and constraint setup

About the Opportunity: We're seeking an experienced, highly collaborative SRE to partner with product teams and tackle our most critical infrastructure challenges. You'll be hands-on in designing, building, and operating our cloud platform-and driving the reliability, performance, and security that empower our engineering organization. Responsibilities: Infrastructure as Code & CI/CD: Automate provisioning and deployments with Terraform and integrate best-practice pipelines (GitHub Actions, ArgoCD, etc.). Reliability Engineering: Define SLIs/SLOs, manage error budgets, and build dashboards & alerts to proactively measure and improve system health. Security & Compliance: Enforce least-privilege IAM policies, automate vulnerability scans, and maintain audit logging for compliance. Monitoring & Observability: Instrument services with metrics, logs, and distributed tracing to enable rapid troubleshooting, aid teams in alerting, custom metrics, and dashboarding Incident Management: Own on-call rotations, lead real-time incident response, conduct post-mortems, and drive continuous improvements. Cost Optimization: Implement tagging strategies, right-size resources, and leverage concrete data to decide on optimal methods to control cloud spend at scale. Documentation & Mentorship: Author runbooks, standards, and best-practice guides-and coach dev teams on implementing modern DevOps, reliability, and security patterns. Required Qualifications: Have 5+ years of experience running production critical systems. Deep proficiency with the AWS Cloud and Cloud-Native best practices. Experience with Kubernetes (EKS, GKE) and Container Orchestration at scale. Skilled in Terraform to declaratively provision and maintain infrastructure services. Working knowledge of managing and debugging databases like Redis and Postgres. Strong familiarity with VPC, VPN, Load Balancing, and cloud networking components. Proficiency with Git workflows, branching strategies, and CI/CD systemintegrations. Solid understanding of web and network protocols and standards (HTTP, REST, TLS, DNS, etc...) Professional proficiency in English (both written and spoken) is required for this role. Nice to Have Skills: Bachelor's degree, or equivalent in Computer Science, Engineering, or a related field. Experience with ArgoCD, GitHub Actions, Jenkins, or other CI/CD pipeline solutions. Working knowledge of Python, Golang, and Helm templating languages. Node.js experience a plus, including running scalable, resilient Node microservices. Grasp of foundational security best practices for cloud infrastructure. Awareness of Terragrunt, managing Terraform state, and optimal project structure. Seasoned in production readiness fundamentals amidst a fast-moving team. Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code's consultants are allocated to perform its services.

Core Responsibilities Execute comprehensive Hardware Validation testing for new silicon, focusing specifically on Battery Chain ICs and Power Management ICs (PMICs). Develop, set up, and perform validation test plans for performance, reliability, and functional verification of power-related hardware. Analyze test results, identify hardware defects, debug issues at the component and system level, and collaborate with design engineers to propose and verify fixes. Set up and expertly operate standard EE lab equipment, including oscilloscopes, digital multimeters, electronic loads (Battery Load management), and data logging equipment. Conduct testing under various environmental conditions, requiring experience with and operation of temperature chambers. Document validation procedures, test results, and bug reports clearly and meticulously. Contribute to the continuous improvement of validation methodologies and test coverage. Required Skills & Experience 3-4 years of professional experience in Electrical Engineering, specifically in hardware validation or characterization. Solid foundation in Electrical Engineering (EE) principles and analog/digital circuit theory. Proven experience in validating Battery Chain ICs (e.g., fuel gauge, charging circuits) and Power Management ICs (PMICs). Hands-on expertise in using and interpreting measurements from essential lab equipment: Oscilloscope (High-speed signal capture and analysis) Multimeter (Precision voltage, current, and resistance measurement) Electronic Loads / Battery Load Management systems Data Logging equipment for extended test monitoring. Experience with temperature chamber operation and performing tests across a wide range of temperatures. Strong analytical, problem-solving, and debugging skills. Excellent written and verbal communication skills for cross-functional collaboration.

Riedinger Consulting is a Sausalito based firm that specializes in management and analysis of engineering and construction projects. In business since 1997 as a woman-owned business, Riedinger Consulting assists public and private owners, general contractors, subcontractors, and design consultants with contract dispute resolution and project management services. Job Description Project Engineer/Staff Consultant will perform multiple tasks in support of both project management and contract dispute services on a variety of construction projects. As part of project management services, Project Engineer performs the following in support of the Project Manager: Attend weekly construction job site meetings with the Owner, Architect, and Contractor. Prepare meeting agenda and meeting minutes. Review, coordinate, and track submittals, shop drawings, requests for information (RFIs), and change proposals. Review project schedules submitted by Contractor and track construction progress. Collect Contractor daily reports and review. Ensure that the project site and construction activities are being consistently documented in writing and in photos. Assist with review of Contractor proposed change orders, and help prepare change orders for Owner approval. Coordinate and manage the drawings and specifications, clarification and interpretation, shop drawings, and submittal review processes. Coordinate the activities of the materials testing sub-consultant(s). Identify plan/construction issues and bring them directly to the attention of the Owner and design team before discussing them with the Contractor. Work to resolve conflicts and issues that may arise during construction of the Project. Quality Assurance/Quality Control: Assist Project Manager in verifying that all materials installed coincide with the approved submittals. File hard or electronic inspection reports, test reports, etc. Ensure that the Contractor maintains field mark-up drawings for use in preparation of as-builts and verify records for accuracy before final close-out. Collect, compile, review, and ensure that as-built information is accurately shown in the original set of plans. Review as-builts from Contractor and submit to the Owner a final set of as-builts. Participate in the job closeout process. As part of contract dispute services, Staff Consultant performs schedule, labor productivity, issue, and cost analyses. Analyses include the review of contemporaneous project documents including: Contracts and contract plans and specifications Project schedules and cost estimates Change orders and change order requests Job cost reports and labor reports Contractor daily reports and inspection reports Requests for information, correspondence, and emails Progress payments and progress photos Meeting minutes From this review, consultant will find information relevant to the preparation or defense of a construction claim. Additionally, Staff Consultant will work with the client's project team to get information about the project and the key issues impacting the project schedule. Consultant will summarize key information, findings, and conclusions in summary spreadsheets, schedules, exhibits, reports, and presentations for review by senior management and legal counsel. Specific Skills and Expertise 3-5 years of experience in construction management. B.S. degree in engineering, preferably civil or mechanical, or bachelor degree in construction management or architectural engineering. Proficient in use of MS Excel, Powerpoint, Word, and construction management software, such as Procore. Scheduling experience using Primavera P6, and MS Project. Excellent organizational, writing, and communication skills. Ability to read plans & specifications. Ability to analyze and interpret data, to summarize key information, and draw conclusions in a compressed timeframe. Attentive to details. Exercises creativity and resourcefulness in completing tasks accurately. Ability to work independently or in teams. Prioritizes and plans work activities. Core Values Strives for excellence. Positive, can-do attitude. Offers outstanding client service. Inspires respect and trust. Takes initiative to identify and analyze problems and propose solutions. Demonstrates and promotes high standards for quality and productivity. Contributes to building a positive team spirit and working environment. Demonstrates professionalism and accepts responsibility for own actions. Follows through on commitments. How to Apply Please send us your resume along with a cover letter describing your qualifications for the position to Kim Maynard: (***************************) with subject “Project Engineer/Staff Consultant.” Thanks for your interest! Please note that Riedinger Consulting is not able to provide visa sponsorship. We require candidates to already have work authorization in the U.S. without the need for employer sponsorship.

In an increasingly connected world, the pandemic has highlighted just how essential telecom networks are to keeping society running. The Network Infrastructure group is at the heart of a revolution to connectivity, pushing the boundaries to deliver more and faster network capacity to people worldwide through our ambition, innovation, and technical expertise Join Optical Networks division, where innovation meets scale in the AI-driven data center era. With the recent acquisition of Infinera, we've united two industry leaders to create an optical networking powerhouse-combining cutting-edge technology with proven leadership to redefine the future of connectivity. Infinera is now part of the Nokia Corporation and its subsidiaries. When you apply, the information you share will be handled with care and used only for recruitment purposes within the group. Responsibilities Optimize plasma deposition, plasma etch, wet etch and clean, and related processes needed for PIC wafer fabrication. Work in teams to scale PIC wafer fabrication processes to larger wafer sizes, while meeting key objectives for PIC yield, uniformity, and end-of-line parametric performance. Troubleshoot wafer fabrication process problems to enable a smooth flow of production and development wafers in the fab. Support engineering process and tool owners in resolving fab process or equipment problems. Execute fabrication work and data collection to support process development for etch, and deposition, and photolithography roadmap activities needed for future PIC technology. Utilize metrology equipment and test structures to maintain process control across wafer fab process modules, improve production yield and enable and guide new process development. Qualifications JMP, DOE, SPC and their application to semiconductor manufacturing Working knowledge of semiconductor fabrication processes, and expertise in etch, deposition, photolithography and related processes. Strong initiative, leadership and communication skills. Experience with semiconductor process development, sustaining, new process introduction, and ramp to volume. Experience supporting a 24x7 fab operations team, writing and training of fab procedures, root cause analysis and problem resolution. Education/Experience Required: B.S degree or equivalent experience. Preferred Knowledge/Skills/Abilities: Technical depth in aspects of, etch, deposition, photolithography or similar tools and processes used for semiconductor manufacturing. 5 years' experience in broad aspects of semiconductor wafer fabrication. Knowledge of wafer fab metrology tools, for example ellipsometry, CD-SEM, step height, and overlay metrology Clear communication of problems, challenges, and initiative in deploying solutions. A working knowledge and fab experience from pathfinding through mature production. A compound semiconductor background is a plus Same Posting Description for Internal and External Candidates About Us Come create the technology that helps the world act together Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people's lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world. We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work What we offer Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered. Nokia is committed to inclusion and is an equal opportunity employer Nokia has received the following recognitions for its commitment to inclusion & equality: One of the World's Most Ethical Companies by Ethisphere Gender-Equality Index by Bloomberg Workplace Pride Global Benchmark At Nokia, we act inclusively and respect the uniqueness of people. Nokia's employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect. Join us and be part of a company where you will feel included and empowered to succeed. Additional Information US/Canada Nokia Offers a comprehensive benefits package that includes but is not limited to: Corporate Retirement Savings Plan Health and dental benefits Short-term disability, and long-term disability Life insurance, and AD&D - Company paid 2x base pay Optional or Supplemental life and AD&D insurance (Employee/Spouse/Child) Paid time off for holidays and Vacation Employee Stock Purchase Plan Tuition Assistance Plan Adoption assistance Employee Assistance Program/Work Life Resource Program The above benefits exclude students. Disclaimer for US/Canada Nokia Maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity.(Check the salary ranges in the job info section for this role) All North America job posts will post for a minimum of 7 calendar days and up to 180 days or until candidate/s identified.

About us Redwood Electric Group is a large business providing electrical construction and design services. We operate throughout the Greater Bay Area with offices in Santa Clara, San Leandro, Vacaville, and Sacramento. At Redwood Electric Group, our philosophy is focused on the commitment to our customers. Their success is a direct reflection of our success. Our business continues to reflect strong growth through innovation and our team's commitment to exceed customer expectations. Duties/Responsibilities: Develop and refine electrical system layouts, schematics, and specifications. Review and process equipment and system submittals to ensure compliance with project requirements. Prepare and modify drawings, ensuring accuracy and clarity in design documentation. Utilize AutoCAD, Revit, and engineering analysis software for system design and documentation. Conduct power system analysis, including short circuit, voltage drop, and arc flash studies. Perform load calculations, lighting level analysis, and energy efficiency assessments. Support equipment selection, panel schedules, and system coordination. Ensure all designs adhere to NEC, energy codes, and client-specific guidelines. Collaborate with multidisciplinary teams to integrate electrical designs into overall project plans. Attend meetings with clients, architects, and contractors to resolve design issues and refine project scope. Conduct site visits to evaluate existing electrical conditions and support field installations. Contribute to the continuous improvement of our design processes. Provide engineering support during construction to ensure successful project execution. Required Skills/Abilities: Strong knowledge of electrical engineering principles, including power distribution and lighting systems. Proficiency in AutoCAD, Revit, and engineering analysis software. Familiarity with NEC and other relevant electrical codes and standards. Ability to analyze and interpret electrical specifications and technical documents. Effective problem-solving skills and the ability to manage multiple tasks. Actively contribute to a collaborative team environment, where your expertise and innovative ideas are highly valued. Strong communication skills, both written and verbal. Education and Experience: Bachelor's degree in Electrical Engineering, Architectural Engineering, or a related field. Minimum of 2 years of experience in electrical design or engineering within the construction industry. Engineer-In-Training (EIT) certification preferred, with encouragement to pursue Professional Engineer (PE) licensure. Experience with commercial, high-rise residential, or data center projects is appreciated. LEED AP certification is appreciated. Proficiency in Microsoft Office applications (Word, Excel, Outlook). Working Conditions This position is based in our Santa Clara office and is not eligible for remote work. Work may be performed in an office or on active job sites, depending on role and project needs. Office work includes sitting, typing, and using a computer for extended periods. Field environments may involve walking, standing, bending, or lifting materials (up to 30 lbs). Noise levels range from quiet (office) to high (job sites). May require occasional travel to project locations or meetings. REG will provide reasonable accommodations as required by the ADA and applicable state law. Disclaimer The duties and responsibilities listed above are representative of the work typically performed in this role but are not intended to be a comprehensive list. Actual responsibilities may vary depending on department needs, project scope, or business requirements. Employees may be assigned additional tasks as needed to support company goals and operations.

Do you want to shape the future of technology and multimedia? Apple's Multimedia Engineering team is looking for a video standards engineer who will represent the voice of Apple Multimedia in standards bodies around the world. In this role, you will join a small team that is responsible for Apple's engagement with several standards developing organizations including Alliance for Open Media (AOM), ITU, MPEG, 3GPP, and others. You will investigate and develop new media technologies collaborate with other teams within Apple in such development and then engage with these organizations for their standardization. As a video standards engineer, you will be a member of a team that represents Apple in the international standards' community. In this role you will be providing a clear position on our analysis of ongoing standards, refining and commenting on work in progress, proposing and driving to completion Apples initiatives and in general, steering the work to develop the field in line with Apple's vision and values. You may also represent Apple at standardization calls and meeting, integrating the feedback of the Apple community on the ongoing work and representing that at meetings. You will engage with various standards bodies, including the Alliance for Open Media, MPEG, 3GPP, ITU etc. and you will be involved in the development of new 2D and 3D multimedia standards. This position requires travel. Awareness of the interaction of intellectual property and standards. Curiosity and interest in new technologies and ideas especially pertaining to multimedia. Excellent judgement and integrity with the ability to make timely and sound decisions. Self-motivation and creative and critical thinking capabilities. Strong Collaboration Skills The ability to prioritize, drive and supervise initiatives. M.S. or higher in EE/CE/CS with a focus in software engineering and or signal processing Knowledgeable in video compression and the multimedia field in general, including 3D visual information coding. Good knowledge of the development of international standards, especially those pertaining to video/multimedia compression. Experienced in developing sophisticated video compression technologies such as MPEG-4 AVC, HEVC, VVC, or AOMedia's AV1 adn AV2 helpful. Track record of effective participation. Able to develop, analyze, propose and refine new algorithms and techniques; help develop Apples intellectual property position with inventions and filings. Experienced in key multimedia specifications from AOM, ISO, ITU, SMPTE, etc. Familiar with software development tools including Xcode, Git etc. Proficient in practical software development and able to contribute to large codebases e.g. of reference software (C, C++). Excellent writing, speaking, presentation and other interpersonal skills.

@HYVE Solutions, missions to help customers, business partners, and employees achieve success through shared goals, strategies, resources and technology solutions. Salary range: $90K-120K THE SYNNEX CULTURE SYNNEX creates additional value for all of our partners at all transaction points. For the company to succeed, each SYNNEX associate is focused on delivering the finest products, services, and solutions in the industry. SYNNEX values and rewards loyalty, teamwork, integrity, and industry. We encourage team collaboration and the spirit of entrepreneurship. Our associates are our greatest asset, and we are dedicated to providing our team members with the opportunity to realize personal growth and professional success. Get in S•Y•N•C• with SYNNEX Start Your New Career as a……..Quality Engineer THE RIGHT FIT SYNNEX Corporation is looking for a detail-oriented, hands-on, results-driven individual with proven communication skills and a strong work ethic to work in a challenging, fast-paced, energetic environment with responsibilities that include managing all aspects of the quality control production process, fall-out, audits and ISO; ensuring that division and departmental practices comply with company requirements; achieve stated objectives and meet current ISO standards. PRINCIPAL DUTIES AND RESPONSIBILITIES (ESSENTIAL FUNCTIONS) Main point of contact for process quality issues, including any inspection activities, priorities and escalations. Collaborate with production teams to address quality issues and implement corrective actions. Collaborate with PE/TE/PM to ensure alignment on quality objectives and priorities. Support regular inspections and audits of manufacturing processes and products to identify defects or deviations from quality standards. Provide a guidance of the acceptance criteria on the cosmetic issues to QC and MFG team. Coordinate and resolve Stop line, Quarantine and QRQC (Quick Response Quality Control) issues. Refocusing QA resources from data-gathering/reporting to using audit for driving process improvement opportunities. Direct QA resources in performing primarily in-line audits to auditing primary upstream processes. Establish and build closer links between site QA teams and Engineering / Manufacturing teams. Work with internal Production, Engineering, Shipping/Receiving, Warehouse, Program Managers and Procurement to meet quality standards. Develop proactive solutions and implement Quality department strategies across the organization. Customer-facing site-based QA representative who can effectively present and communicate to internal customers and other areas. Direct site QA teams to maintain consistent standards & metrics & to share/implement best practices across products. Review and approve Product and Processes Corrective and Prevention Action Plans (8Ds) and perform additional assessment and analysis as assigned. Perform failure analyses, root cause analysis and corrective action follow-up. Assess and evaluate all reliability testing, equipment service and calibration and the verification process. Execute internal audits on QMS, EMS, ISO 9001 and ISO 14001 standards. Coordinate UL (Underwriter's Laboratory) and other regulatory factory audits. ESSENTIAL CRITERIA BS degree in Computer Science, Electrical, Mechanical or Industrial Engineering or relevant discipline plus 3 years of experience including a combination of 2+ years in contract manufacturing, 3+ years in quality control and 3+ years in a leadership position or equivalent combination of experience. Prior manufacturing engineering and quality experience. Proven understanding of mechanical drawing and/or tools. Experience with server/computer, build or repair processes. Knowledge of key customer processes (i.e. Microsoft, etc.) Demonstrated background in interfacing with key customers within the high tech industry and experience working across multiple sites sharing best practices & implementing process improvements. Working knowledge of MS Office programs; Word, Excel and PowerPoint. Hands on experience with quality system training including understanding of SPC (Statistics Process Control) principles and tools. Established ability prioritizing and managing multiple projects to meet strict deadlines. Flexibility to work in a fast-paced, high volume, and diverse environment across functions to produce expected results. Able to work as business needs require which may include long days, occasional evenings and weekends, and travel to all manufacturing and warehouse locations, for business meetings or training. WHAT SYNNEX OFFERS YOU SYNNEX Corporation (SNX) is committed to investing in our associates. They are our greatest asset, and we are dedicated to providing our team members with the opportunity to realize professional and personal growth. If you share our mission, our strong work ethic, and our values of integrity, continuous learning, quality of work, commitment, teamwork, execution and results, respect for the individual, and taking manageable risks, then SYNNEX may be the place for you. Competitive Compensation Profit Sharing Employee Stock Purchase Plan Paid Vacation Days Paid Holidays Paid Sick Days Direct Deposit Tuition Reimbursement Medical and Prescription Insurance Dental Insurance Vision Care Life & Accident Insurance Development Scholarship Program Flexible Spending Accounts (FSA) Short- & Long-Term Disability Bereavement and Jury Duty Leaves Casual Dress Code Employee Assistance Program Live Well Work Well Program Training Opportunities Pet Insurance “SYNNEX Corporation is an Equal Employment Opportunity employer M/F/D/V and is committed to the Quality Policy.” Note: The preceding job description has been designed to indicate the general nature and level of work performed by employees with this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Top of Form Top of Form @ HYVE Solutions, we believe employees are our greatest asset and we empower them to make a difference in our business. Diversity and inclusion make us all better. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Proterra offers a dynamic and supportive workplace where our employees can thrive personally and professionally. With cutting-edge facilities and groundbreaking projects, Proterra offers unique opportunities to grow, collaborate, and lead transformative change in the electrification of heavy-duty transportation and equipment. Our commitment to innovation extends beyond our battery solutions to our people, where we create an environment where everyone feels valued, supported, and empowered to drive change for the earth. Here at Proterra we strive to foster a culture of inclusivity, valuing diverse perspectives and encouraging bold ideas, allowing our employees to bring their full selves to work. Our employees benefit from competitive total rewards packages, and opportunities to develop professionally. Position Overview This position, as part of the Advanced Manufacturing Engineering (AME) organization, will lead the development of new production test methods and equipment for Proterra's battery packs. This highly collaborative position is a key part of the Battery Technology organization. You will work with other leaders, engineers, and technicians to establish Proterra as a world-class manufacturer of battery-based energy storage. About the Role - You will: Collaborate with battery systems, and design engineering team members to design, validate, and implement new end of line and inline test processes & equipment for Proterra's Battery Systems. Lead development of complex battery module and pack testing methodologies from conception in a lab environment to deployment in a high-volume manufacturing operation. Assist manufacturing engineers in the development of automated test systems by leading requirements and validation of test hardware and software for production systems. Internally develop and write test automation scripts and analysis tools with industry standard tools and software starting in the lab and then scaling into automated high throughput testing equipment Support characterization of new battery pack designs to define manufacturing functional and electrical test tolerance bounds Act as the subject matter expert in battery electrical test principles, battery performance verification methods, and high-volume automated battery test processes at Proterra Create effective documentation for test equipment and processes to aid in knowledge transfer and education within the larger organization Establish manufacturing test data architecture for test applications and specify requirements for data systems Correlate functional defects from end of line and in line test data through automated analysis to streamline quality issue identification and correction About Our Group: The Advanced Manufacturing Engineering group seeks to develop innovative new manufacturing processes and automation tools to establish Proterra as a world leader in battery pack manufacturing. It is comprised of several different teams focused on different aspects of battery manufacturing, including process development and automated manufacturing equipment design. This role is part of the larger Battery Technology Team. The Battery Technology Team's work is guided by our team values: INNOVATION: We think of new ideas and take bold action to bring them to life. ADAPTABILITY: We react quickly to our ever-changing environment. CONTINUOUS IMPROVEMENT: We strive to make our products, services, and processes better. TEAMWORK & COLLABORATION: We work together to solve problems with camaraderie. INCLUSION: We create welcoming spaces where everyone can bring their whole selves to a diverse work community. SUSTAINABILITY: We change the world through environmentally responsible practices. KINDNESS: We are honest, caring, and respectful with each other. You will report to the Sr Manager, Advanced Manufacturing Engineering within the Battery Engineering Organization and collaborate with other team members located at our R&D headquarters in Burlingame, CA and manufacturing facilities in Greer, SC. About You: Proactive and able to work with little supervision Able to adapt interpersonal styles and techniques to influence at all levels of the organization Customer-focused attitude Able to maintain strict confidentiality, establish trust and credibility, and act with complete integrity Detail-oriented, resourceful, and diligent Flexible and open to change Demonstrate sound judgment and problem-solving skills including challenging assumptions Able to prioritize tasks and manage multiple priorities simultaneously Excellent written, verbal, and presentation communication skills Strong time management and organizational skills Able to summarize and present data is a manner that is easily digestible to various technical and non-technical audiences. Ability to travel as needed to Proterra and project-related partner sites Your Experience Includes: Degree in Electrical, Mechanical, Mechatronics Engineering or similar technical field Experience collaborating with cross-functional teams to deliver effective solutions in a manufacturing test engineering, development test engineering, or similar technical role Hands-on experience testing battery-based energy storage systems or electrical power systems Extensive experience with test engineering principles and tools- data acquisition, test circuits, test equipment Experience with CAN bus communications and ability to interpret traces Hands-on experience in Measurement Systems Analysis and Qualification (Gage R&R, Gage Capability, etc.) Extensive experience methodically troubleshooting electrical assemblies and software automation scripts Expert in battery test hardware including bidirectional battery cyclers, data acquisition systems, voltage/current/resistance measurement devices, ect. Experience performing data analysis of test results to optimize test scripts and automate analysis of test results You Might Also Have: Master's degree in Electrical/Mechatronics Engineering or similar technical field Experience designing, building, and delivering internally developed electrical test equipment Location: Burlingame, CA Common Travel Locations: Greenville, SC; Vendor Sites Travel: up to 20% Compensation: $160,000 - $195,000 Proterra is an Equal Employment Opportunity Employer, providing equal employment opportunities to all Employees and applicants for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity, national origin, disability, age, genetic information, veteran status, pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation or any other characteristic protected by applicable federal, state, or local law or ordinance. Proterra participates in the Electronic Employment Verification Program (E-Verify). #LI-BJ1

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. We are looking for a Manufacturing Test Engineer to own PCBA-level test development and validation across all our custom electronics. In this role, you will be responsible for designing, deploying, and validating ICT (In-Circuit Test), FCT (Functional Circuit Test), and end-of-line diagnostics for our board builds - from prototype through mass production. This role is highly hands-on and requires regular travel to overseas contract manufacturers (CMs). You will work closely with electrical engineering, firmware, and manufacturing teams to ensure all test systems are robust, scalable, and capable of identifying issues before boards ever reach final assembly. Responsibilities: * Own test coverage strategy for all custom PCBAs across the product * Design, validate, and deploy bed-of-nails ICT and FCT test fixtures, working directly with overseas test vendors and fixture houses * Collaborate with electrical and firmware teams to define test hooks, firmware test modes, and diagnostics coverage * Specify and validate test software, including automated test sequencing, result logging, and failure triage * Serve as the test lead on-site at CMs during NPI builds to bring up, debug, and improve test coverage and throughput * Monitor test yield data, drive root cause analysis for failures, and recommend corrective actions * Act as the first line of defense when boards or testers start failing * Ensure test processes scale from EVT through MP, with clear handoff documentation and ongoing vendor support Requirements: * 5+ years of experience in PCBA manufacturing test, ideally with high-complexity boards and tight timelines * Hands-on experience with ICT and FCT system design, bed-of-nails fixture development, and board-level debug * Strong understanding of DFT (Design for Testability) and how to collaborate with EE/FW teams early in the design cycle * Experience working directly with overseas CMs and test vendors * Familiarity with test automation frameworks, data collection, and reporting tools * Able to read schematics, probe/debug hardware, and communicate clearly across disciplines * Strong proficiency in writing Python for interfacing with real hardware * Willingness to travel overseas 40% of the time Bonus Qualifications: * Bachelor or graduate degree in Electrical Engineering or related field. * Experience with Altium. * CAD experience (EPLAN, Solidworks Electrical, CATIA, etc) * Embedded programming of DSPs, microcontrollers, and FPGAs. * Robotics or other high tech industry experience. The US base salary range for this full-time position is between $160,000 and $250,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

As a Site Reliability Engineer (Contractor), you will be a hands-on contributor, focused on supporting and improving the reliability of our AWS cloud infrastructure. You will apply core SRE principles to automate operational tasks, monitor system health, and participate in incident response. This role is execution-focused, supporting the senior team in ensuring our services are available and performant while maintaining an awareness of healthcare compliance standards. The contract extension beyond 3 months will be on the need basis. Key Responsibilities (Contract Deliverables) Cloud Infrastructure Execution & Maintenance: Assist in deploying, configuring, and maintaining highly available AWS infrastructure components. Execute Infrastructure as Code (IaC) changes using tools like Terraform to provision and configure resources. Support the operations and maintenance of existing containerized applications running on platforms like Kubernetes and Docker. AWS Networking Support: Assist the senior team in maintaining the security and efficiency of our core AWS network topologies (e.g., VPCs, subnets, routing). Perform basic configuration and maintenance of cloud load balancing (ALB/NLB) and DNS services (Route 53). Support the enforcement of network security policies and assist in routine network troubleshooting for connectivity or latency issues. Site Reliability & Automation: Identify and automate routine manual operational tasks using scripting (Python/Bash) to improve efficiency and reduce toil. Participate in blameless post-mortems and incident response efforts, focusing on documenting steps taken and assisting with root cause analysis. Contribute to the documentation and adherence of established Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Monitoring & Compliance: Maintain and use existing monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK stack) to ensure system health. Assist in managing and verifying CI/CD pipelines to ensure safe and efficient software releases. Support compliance efforts by ensuring operational procedures align with security best practices and regulatory requirements (HIPAA, SOC 2). Required Qualifications 8+ years of hands-on experience in a DevOps, Cloud Engineering, or SRE-focused technical role. Solid practical experience with AWS cloud provider services. Hands-on experience with Linux administration and troubleshooting. Proficiency in scripting languages such as Python, Bash, etc for automation. Solid experience with Infrastructure as Code tools such as Terraform. Experience with containerization technologies such as Docker and Kubernetes. Experience with monitoring systems like Prometheus, Grafana, AWS Cloud Watch. Experience with writing SQLs on PostgreSQL DB. Working understanding of core networking principles (VPC, routing, load balancing). Basic understanding of security and compliance requirements in a regulated industry (e.g., healthcare, finance). Preferred Qualifications Relevant certifications such as AWS Certified SysOps Administrator or AWS Certified Developer. Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI). Compensation: $72 - $90 per hour ID#: 2508

Our client is a well-funded, product-focused AI startup building next-generation systems that help organizations capture, organize, and leverage their internal knowledge at scale. Their platform blends modern machine learning, intelligent data pipelines, and context-aware models to make teams more effective, faster, and dramatically more aligned. They're growing quickly and looking for engineers with strong CS fundamentals and a passion for building ML systems that operate in the real world, not just in research settings. If you're energized by early-stage ownership and solving hard problems that matter, you'll thrive here. What You'll Work On Designing and shipping ML components end-to-end: training pipelines, data ingestion, evaluation, optimization, and deployment Building models and services that learn from unstructured signals (text, docs, conversations, workflows) and surface actionable insights Transforming research concepts into scalable production systems used by enterprise customers Architecting efficient, privacy-conscious model-serving infrastructure Collaborating across engineering, product, and research to rapidly experiment and iterate Owning technical decisions in a fast-paced environment where craftsmanship and velocity both matter Who Thrives Here Engineers with strong computer science foundations (algorithms, systems, distributed computing, data structures) Builders with experience in ML frameworks (PyTorch, TensorFlow, JAX) and modern backend systems Candidates coming from top CS programs or AI-first startups where they've shipped real, user-facing ML/AI features People who enjoy working in ambiguous, zero-to-one environments and want significant ownership Curious thinkers who care about model performance, reliability, and how their work impacts real users Bonus skills (not required): experience with LLMs, embeddings, personalization models, agentic workflows, or model evaluation at scale Why This Role Is Compelling You'll build foundational AI systems at a moment where the company is scaling quickly Your work will directly shape how customers interact with and benefit from AI You'll partner closely with experienced founders and senior engineers who value autonomy and deep thinking You'll have room to experiment, influence architecture, and meaningfully impact technical direction You'll join early enough to feel the upside, but after core customer traction is already proven What's On Offer A high-ownership engineering role with scope to grow into senior or staff pathways A culture that balances speed with thoughtful engineering Mission-driven work with clear real-world utility Competitive compensation, strong equity, and flexibility in how you build If you're excited by the idea of building intelligent systems that help real teams work smarter, and you want your engineering decisions to matter, we'd love to talk.