Product Engineer 5 Location: Tualatin, OR | Fremont, CA | Livermore, CA Hybrid Schedule (3 days onsite/2 days remote) Employment Type: 12 mo. Contract Pay Range: $90-95/hr. Job Description: Role Overview This is a Staff Product Engineering position within the RF Power Group, focusing on innovation and problem-solving in RF Power Systems manufacturing, testing, quality, and supplier assessment. The role offers an opportunity to contribute to the product engineering processes used in developing and manufacturing Wafer Fabrication Equipment (WFE) for leading global chip makers. You will support systems that enable atomic-layer precision in plasma etching, deposition, and wafer cleaning. Key Responsibilities - Apply expertise in semiconductor manufacturing and equipment to address technical and quality problems throughout the product life cycle, particularly during new product introduction. - Utilize experience with industrial Quality Systems, Engineering Design, Product Qualification, and Change (EC) Processes to resolve issues in product and component life cycles. - Manage programs, projects, and suppliers with an emphasis on problem-solving, analysis, and improvements in manufacturing and test processes. - Define, review, and enhance Supplier Root Cause & Corrective Action (RCCA), Quality Systems, and Processes of Record (POR). Required Qualifications Education: A Bachelor of Science, Master of Science, or PhD from a professional engineering program in Electrical or RF Power Engineering is required. Experience: A minimum of 10 years of experience in the following areas: - Semiconductor equipment system and component level problem-solving. - Multi-kilowatt High Power RF Environments from 1 to 60 MHz. - Electro-mechanical assembly, including methods of part fabrication, assembly, test, and quality assurance. - Practical lab and experimental experience is required. - Structured problem-solving within Cross-Functional Teams (CFT). Technical Skills: - Understanding of Transmission Line theory, impedance matching, RF measurements, and calibration techniques. - Familiarity with electrical measurement equipment such as DMM, LCR Meters, Network Analyzers, Oscilloscopes, and Spectrum Analyzers. - Working knowledge of quality and analysis methods including SPC, Cpk, DOE, GR&R (MSA), 5-Why, 8D, and Ishikawa diagrams. - Knowledge of electrical and manufacturing standards (e.g., Semi S2, ISO9000, RoHS, UL, IEEE, IPC 610/620). - Strong communication skills for presenting to team members and stakeholders. Preferred Qualifications - Experience with Printed Circuit Board (PCB) assembly, inspection, and testing. Compensation A specific rate will be determined based on the selected candidate's experience and qualifications. We are an equal opportunity employer and welcome applications from all qualified candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Apex uses a virtual recruiter as part of the application process. Click here for more details. Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. Employee Type: Contract Pay Range: $90 - $95 per hour

Job Title: Automation Engineer - Network Security Location: Richmond United States Job Description: Job#: 3035249 Overview We are seeking a highly skilled Automation Engineer to join a Network Security team focused on modernizing and automating critical security operations. This role will drive automation across security platforms, improve operational efficiency, and enhance the reliability of network security services in a complex enterprise environment. The ideal candidate brings strong experience in Ansible, Python, Terraform, and Git, along with a deep understanding of network security platforms and infrastructure automation. Key Responsibilities - Design, develop, and maintain automation solutions for network security operations - Automate health checks and monitoring for a 24/7 Security Operations Center (SOC), ensuring proactive identification of issues across network devices - Build automation for certificate lifecycle management, including validation, renewal, and compliance verification - Develop infrastructure automation using Terraform, including: - Integration with ServiceNow - Automation within Cisco ACI (Application Centric Infrastructure) environments - Create and maintain Ansible playbooks and integrations to streamline security workflows - Develop custom automation scripts using Python for operational efficiency and platform integrations - Manage and maintain code repositories using Git, following best practices for version control and CI/CD integration - Build and automate Splunk dashboards and reporting to support operational visibility and security insights - Automate platform tasks such as upgrades, provisioning, and configuration management across security tools Key Milestones & Deliverables - Develop a roadmap for implementing self-service dashboards, enabling operational teams to independently access real-time insights - Standardize and optimize Splunk dashboards to ensure consistency, usability, and actionable reporting across the environment - Create and maintain runbooks for the NOC, documenting automated processes, incident response procedures, and operational workflows - Establish repeatable automation frameworks to support scalable and consistent security operations Required Qualifications - Strong hands-on experience with: - Ansible (Ansible Tower, playbooks, YAML scripting) - Python scripting and automation - Terraform for infrastructure as code - Git for version control and collaboration - Experience automating enterprise security or network environments - Proven ability to build automation for monitoring, health checks, and operational workflows - Experience working with Splunk for dashboarding and reporting - Strong understanding of network security concepts and infrastructure Preferred Qualifications - Experience with microsegmentation solutions - Familiarity with certificate management platforms and automation - Experience integrating automation with ITSM platforms (ServiceNow) - Exposure to AI-driven platforms and automation (e.g., automated upgrades in intelligent platforms) Technical Environment Firewalls & Network Security - Palo Alto (Next-Gen, Panorama, Strata) - Juniper Firewalls (Layer 7 capabilities) - Cisco Firepower (Network Intrusion Prevention) Network & Infrastructure - Cisco ACI (Application Centric Infrastructure) - Cisco Secure Workload - Broadcom platforms Security & Access - Zscaler (via Avanti mediation) - Proxy Gateway technologies Emerging Platforms - AI-driven platforms (e.g., Mythos for automated upgrades) Key Skills - Infrastructure automation and orchestration - Network security engineering fundamentals - Scripting and development mindset - Cross-platform integration and API utilization - Problem-solving in high-availability environments Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide. Employee Type: Contract Remote: Yes Location: Richmond, VA, US Pay Range: $80 - $80 per hour

Title : Senior Full Stack Engineer, Solve Voice Location: Austin United States Job Description: Job Description Senior Full Stack Engineer, Solve Voice Join us at Zendesk, where we're on a mission to power exceptional service for every person on the planet. We're accelerating that ambition by building products rooted in AI, automation, and intelligent customer experiences, because behind every interaction lies an opportunity to make a human connection. We're seeking a Senior Full Stack Engineer to build the real-time voice AI product that makes live conversations feel natural and reliable. Your work will reduce latency, improve conversation flow, and make voice interactions an effective channel for AI-driven support. What you'll be doing - Design and implement backend services powering real-time voice conversations, focusing on latency, reliability, and observability. - Build integrations for telephony, WebRTC, real-time audio processing, and external AI/speech services. - Ship end-to-end product features across backend systems and user-facing web experiences when required. - Improve platform reliability and performance: monitoring, tracing, autoscaling, and failure recovery. - Address real-time interaction challenges such as turn-taking, interruptions, responsiveness, and graceful handoff to humans. - Partner with product and design to deliver voice experiences that feel polished and human. What you bring to the role - Solid backend fundamentals with experience designing APIs, async systems, and scalable integrations. - Hands-on experience with real-time systems (WebRTC, WebSockets) or telephony protocols. - Product-driven engineering mindset - you ship user-facing features and care about UX quality. - Ability to debug and optimize latency and reliability issues in production systems. - Enjoys cross-functional collaboration with product, design, and ML/speech teams. Basic qualifications - 3+ years building production software, with significant backend engineering experience. - Experience with real-time or event-driven systems (WebRTC, SIP, streaming APIs). - Proficiency in Python or equivalent backend languages and async architectures. Preferred qualifications - Experience with telephony stacks, SIP, media servers, or speech/ASR/TTS integrations. - Familiarity with LLMs, speech models, or conversational AI production infrastructure. - Experience on fullstack teams shipping both backend and frontend user experiences. - Expertise in diagnosing performance and reliability issues under real-time constraints. The US annualized base salary range for this position is $145,000.00-$217,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives. The intelligent heart of customer experience Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love. Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week. As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law. Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer.

Title: Staff HPC Engineer Location: San Francisco, CA (Hybrid) Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. The Team The HPC Engineering team is part of the AI Compute Platform organization at Biohub, a non-profit research lab committed to open science and open-source AI. We own the design, operation, and reliability of hybrid GPU AI clusters that power frontier AI biology research: protein language models, genomic foundation models, and scientific reasoning systems built to be shared. Our infrastructure supports day-to-day AI researcher workflows. The team works at the intersection of AI tooling, distributed systems, HPC, and frontier AI, debugging deep AI infrastructure problems and building AI systems critical to the entire AI organization. The Opportunity We seek a Staff HPC Engineer to help lead the evolution of our advanced computing infrastructure into a next-generation hybrid HPC and AI platform. This role will help shape strategy, architecture, and operations for high-performance computing resources — including cutting-edge GPUs, large-scale storage, and high-speed networks — while enabling transformative science through AI and machine learning at scale. You will design, implement, and optimize a unified HPC-AI ecosystem blending on-prem Slurm-managed clusters, cloud GPU resources, and containerized environments. This hybrid environment will power everything from traditional HPC workloads to large AI training jobs, generative model development, real-time inference, and data-intensive pipelines. The successful candidate will be a thought leader in HPC infrastructure , capable of partnering with scientists, computational biologists, and software engineers to translate complex research needs into high-impact computing solutions. You will also foster adoption of emerging AI tools, and ensure our systems can scale to meet the demands of next-generation biomedical research. What You'll Do HPC Engineering - Build and support a hybrid HPC-AI environment with large-scale on-prem compute/storage and elastic cloud GPU clusters (Coreweave, AWS, GCP). - Architect and optimize environments for large-scale AI training and tuning, and low-latency scientific workloads. - Integrate MLOps and model deployment pipelines into HPC infrastructure, ensuring reproducibility and efficiency. - Implement advanced resource scheduling and orchestration (Slurm, Kubernetes, SUNK) optimized for mixed HPC and AI workflows. Operational Excellence - Support researchers with job optimization, GPU utilization best practices, and performance tuning for AI and HPC applications. - Evaluate, deploy, and maintain AI/ML software stacks (e.g., PyTorch, TensorFlow, Hugging Face, RAPIDS) and HPC toolchains. - Ensure robust data ingest, analysis, and management capabilities for AI and HPC workloads, including integration with parallel file systems and object storage. Collaboration & Enablement - Work with diverse science teams to translate research requirements into hardware/software solutions, from experimental design through publication. - Promote best practices for AI model training, validation, and deployment in shared computing environments. - Foster a culture of shared learning by running internal workshops on HPC-AI tooling (e.g., VS Code remote dev, containerization, MLOps workflows). What You'll Bring Essential - Bachelor’s or advanced degree in Computer Science, AI/ML, Data Science, Systems Engineering, or related field. - 10+ years building and managing HPC infrastructure, with significant experience integrating AI/ML workloads. - Proven track record architecting environments for large-scale GPU AI training and inference in hybrid on-prem/cloud environments. - Deep expertise with HPC scheduling (Slurm), container orchestration (Kubernetes), and cloud GPU services. - Strong hands-on experience with AI frameworks (PyTorch, TensorFlow, JAX) and distributed training strategies (Horovod, DeepSpeed, Ray). - Knowledge of MLOps best practices, including CI/CD for ML, model registry, experiment tracking, and performance monitoring. - Exceptional ability to collaborate with multidisciplinary teams and communicate complex technical concepts clearly. - Demonstrated leadership in guiding infrastructure teams, influencing organizational strategy, and fostering adoption of new technologies. Technical - Advanced Linux systems administration, HPC networking (Infiniband, Ethernet), and storage systems administration (VAST Lustre, Weka and ZFS) - Cloud platform expertise (Coreweave, AWS, GCP) including GPU provisioning, storage, and networking for AI workloads. - Proficiency in automation tools (Terraform, Ansible, Puppet), containerization (Docker, Singularity), and orchestration frameworks. - Strong experience debugging and troubleshooting hardware across the stack (network, GPU, compute and storage systems). - Strong scripting/programming skills (Python, Bash) and familiarity with version control (Git). - Experience integrating AI LLMs, AI coding assistants, and custom model development into HPC workflows. Compensation The San Francisco, CA base pay range for a new hire in this role is for a Staff HPC Engineer 214,000–$268,000 and for a Senior Staff HPC Engineer $241,000–$300,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role. Better Together As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process. Benefits for the Whole You We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. - Provides a generous employer match on employee 401(k) contributions to support planning for the future. - Paid time off to volunteer at an organization of your choice. - Funding for select family-forming benefits. - Relocation support for employees who need assistance moving If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. #LI-Hybrid