Process engineer jobs in Castro Valley, CA

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.

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.

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

Socionext America Inc. (SNA) Socionext Inc., world's second largest fabless semiconductor company, designs, develops and delivers leading edge System-on-Chip cusom silicon solutions to global customers. The company is focused on datacenter compute server, networking, storage, artificial intelligence, automotive and industrial automation market segments that drive today's leading-edge services and applications. Socionext combines world-class expertise, deep enterprise class product development experience, and an extensive IP portfolio to provide differentiating solutions. Socionext Inc. is headquartered in Shin-Yokohama, and has offices in Japan, United States, Europe and Asia. We are seeking a Marketing Manager for our Data Center business with a background as an Applications Engineer. The primary responsibilities include but are not limited to: Create Data Center market technologies inflexion insights Develop Market Requirements Document (MRD) by engaging with market leading customers and capturing technology needs, systems roadmaps Study emerging market and industry technology trends Develop datacenter business opportunities and win strategies Advocate IP offerings roadmap to customers and collect feedback Working closely with management to drive all phases of customer design wins and execution Requirements for this position : Bachelor's Degree in EE, Masters preferred 5+ years of successful experience in marketing and closing business 8+ years of experience with data center networking, storage and server products (knowledge of data center interconnects) Must have experience in networking and storage industry. In depth knowledge of Storage applications is required. Familiarity with solid state storage is a plus. Requires an excellent understanding of ASIC design and manufacturing flows, including a good grasp of the competitive landscape Knowledge required - ASIC Marketing, CNICs/HBAs, PCIe, NVMe, Flash, SSD, SATA, SAS, iSCSI Ability to guide products through development, including the definition and trade off analysis of architectures and new features for the components required for Data Center ASIC Ability to lead with varied goals and objectives to achieve business unit's direction and purpose Ability to use financial tools such as ROI and NPV analysis to build business cases. Teamwork, dedication, strong communications and interpersonal skills Some travel ~10%

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

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.

Do you want to see your ideas and passion make an impact on the way consumer electronics enrich customers' lives? Ever wondered what technologies make the special things happen across Apple products like - Accessories, iPhones, iPads, Watch, Mac, Display? At Apple, we solve hard problems to ensure that our customers have a seamless experience with our products. We have an exciting new opportunity for a highly motivated and creative engineer with excellent problem solving and interpersonal skills. You'll join a dynamic team of hardworking engineers responsible for driving the quality of Apple Products and their integration in iOS/mac OS ecosystems by working closely with hardware, firmware and software engineering teams. Be part of the iOS Device QE team, focused on testing firmware and ensuring ultra-high quality for Apple's next generation human interface devices. You will be a motivated individual who cares and thinks about user experience, able to collaborate with other engineers to problem solve and understand the basics of firmware. Core responsibilities include but not limited to: Understanding microcontroller based embedded systems, including algorithms Working to guarantee that Multitouch system consistently achieve Apple quality bar Partnering with a development team to quickly understand an architecture, break it into functional parts, come up with a plan to test/validate, and identify and target weaknesses Devising and building test fixtures, building tools and authoring automated scripts Driving manual and automated test plans on early prototypes Documentation of test cases and code used for test execution Coming up with ideas for custom tools and methods to exercise firmware features Tracking performance, reporting results to management, driving issues to closure Partnering with Human Factors / User Study Group to validate the customer experience and learn about how humans use new input devices Experience writing and/or testing firmware, building embedded systems Algorithm analysis and validation Knowledge of Mac systems and MacOS/iOS or UNIX variant Track record of shipping great consumer products Testing automation using Python or similar Use of hardware debugging tools USB and Bluetooth CATC, protocol analyzer, logic analyzer, oscilloscope Familiarity with C/C++ or object-oriented programming Test tool development Continuous integration systems BS and a minimum of 3 years relevant industry experience. Experience writing and/or testing firmware, building embedded systems Knowledge of Mac systems and MacOS/iOS or UNIX variant

@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.

At Meta Reality Labs, we are developing the future of Wearables and Mixed Reality products. This team focuses on developing display and optics technologies for Meta products, creating see-through display systems that seamlessly blend the real and virtual realms. The role involves designing architecture and display sub-systems for wearable glasses, developing and implementing test, characterization, metrology, and data solutions to support transparent display systems.We're seeking an experienced Engineer to join our Reality Labs team, where you'll play a pivotal role in shaping the future of wearables. As a key member of our team, you'll explore innovative architectures and design spaces for our wearable devices, develop and analyze components, and drive detailed analysis. In this role, you will be part of a dynamic environment where you will consistently switch between high-level thinking and meticulous attention to detail to mature our architectures and designs. **Required Skills:** Optical Device Modeling Engineer Responsibilities: 1. Lead cross-functional teams in the design, development, and implementation of cutting-edge optical solutions for new optics architectures, utilizing innovative materials and processes 2. Identify, incubate, and productize optical technologies that have the potential to revolutionize the field of Wearable optics 3. Specify key performance metrics, test methods, and test requirements for optical components and systems 4. Develop and maintain technical roadmaps 5. Interface with stakeholders and leadership to influence product roadmaps 6. Stay updated on industry trends, emerging technologies, and competitor activity 7. Manage budgets, resources, and collaborations with global vendors **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Optical Engineering, Electrical Engineering, Physics, or a related technical discipline 9. 6+ years of industry experience with a proven track record of full product development cycle of Consumer Electronics 10. Experience and expertise in these areas: optical design software, geometrical optics, wave optics, and polarization optics, optical materials, coatings, manufacturing processes, Imaging optics design and manufacturing, display optics, optical sensing, optical system integration and testing 11. Technical leadership, communication, and project management skills 12. Problem-solving, analytical, and critical thinking skills **Preferred Qualifications:** Preferred Qualifications: 13. Advanced degree in Optical Engineering, Electrical Engineering, Physics, or a related technical discipline 14. In-depth knowledge of electromagnetic modeling techniques, such as the finite element method (FEM), finite-difference time-domain (FDTD), and rigorous coupled-wave analysis (RCWA) 15. Experience working with optical design software such as Meep, Lumerical, LightTools, Zemax, Code V, FRED, or similar 16. Experience in building predictive optical models, validating designs and models with metrology data, and closing the loop between simulations and measurements 17. Experience using scripting languages and data analysis tools such as Python, JMP, or MATLAB 18. Experience working with external vendors to deliver custom optical components, modules, or systems, involving challenging optical requirements to drive innovative fabrication process development, and new opto-mechanical integration and metrology techniques 19. Process development and failure analysis experience for optical components and modules such as cameras, sensors, or illumination/projector systems 20. Experience in developing optical modules or systems in highly multidisciplinary environments, including setting specifications, determining test methods, and overall module and system integration **Public Compensation:** $139,000/year to $200,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. Job Description Essential Duties & Responsibilities: In this position, the individual will be responsible to develop NAND memory trim, push the performance and reliability envelope of flash memory which is used in best-in-class high-density storage application The individual will be responsible for working in partnership with NAND design and system development teams to drive technology & product development The individual will be responsible for defining, developing and executing NAND flash memory performance and reliability tests; analyze & report data to cross-functional teams to drive product and process improvements The individual will communicate & work with members from process, design, reliability, and system groups to ensure timely product device support, memory qualification, and ramp of volume production Qualifications Required: MS/PhD degree in Electrical Engineering, Applied Physics, or a related field In-depth knowledge of semiconductor device physics, process, and reliability, as well as circuit design. NAND flash memory device and physics knowledge is also a must. C/C++/Java Programming and Perl/Python Scripting Ability to analyze problem and work independently as required Preferred skills: PhD degree Industry experience in semiconductor memory development, device engineering, reliability engineering, product/test engineering, is strongly preferred Excellent communication and teamwork abilities Additional Information Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available here. Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. #LI-TG1

The Asahi Kasei Group operates with a commitment of creating for tomorrow. Our business sectors, Material, Homes, and Health Care, contribute to the development of society by anticipating the changing needs of those around the world. We look for candidates that offer a fresh perspective and a variety of skills to help us achieve our commitment.Bionova is a rapidly growing, biologics CDMO focused on developing and manufacturing recombinant protein products using mammalian cell culture processes. Our business success is built on bringing together top scientific talent, arming them with the best available tools, and setting them loose in an agile, energized culture focused on solving difficult client problems. Because our success depends on our ability to exceed our clients' expectations, we look for candidates with an innate desire to serve. Adaptability and an interest in transformative action are also common attributes among our team. Bionova became a subsidiary of Asahi Kasei Medical in May 2022, a division of Tokyo-based Asahi Kasei Group. This acquisition has enabled Bionova to greatly accelerate growth of the business, both in capacity of current service offerings and expansion into new service offerings. Company: Bionova Scientific LLC Job Description: Company Summary: Bionova is a rapidly growing, biologics CDMO focused on developing and manufacturing recombinant protein products using mammalian cell culture processes. Our business success is built on bringing together top scientific talent, arming them with the best available tools, and setting them loose in an agile, energized culture focused on solving difficult client problems. Because our success depends on our ability to exceed our clients' expectations, we look for candidates with an innate desire to serve. Adaptability and an interest in transformative action are also common attributes among our team. Position Summary: The Manufacturing Bioprocess Engineer - Upstream is a front-line Subject Matter Expert (SME) responsible for the operational execution of Bionova's upstream bioprocesses, including cell culture, seed train scale-up, and harvest activities. This role ensures reliable GMP manufacturing by troubleshooting operations, driving compliance, and implementing improvements. The BPS partners closely with floor staff and cross-functional teams to deliver consistent, high-quality biologics while advancing Bionova's manufacturing capabilities. Essential Duties and Responsibilities: Operational Support Serve as SME for upstream unit operations (media prep, inoculation, seed train, bioreactor operation, harvest). Provide technical guidance to operators and support resolution of real-time process or equipment issues. Monitor upstream process parameters (CPPs, CQAs) to ensure compliance with process control strategies. Material management and coordination with Supply Chain Deviation & Change Management Investigate, manage, and own upstream-related deviations in the Quality Management System. Perform root cause analysis and implement effective CAPAs. Manage upstream-related change controls and ensure successful implementation. Training & Knowledge Transfer Develop and deliver upstream-specific GMP and technical training for manufacturing staff. Mentor operators on aseptic technique, bioreactor operations, and harvest practices. Ensure training records are current and compliant with Bionova's standards. Support MSAT with technology transfer. Continuous Improvement Identify and implement process improvements to increase yield, robustness, and efficiency in upstream operations. Apply Lean/Six Sigma tools to optimize workflows and reduce variability. Compliance & Documentation Author, revise, and review upstream SOPs, Electronic batch records, and work instructions. Ensure readiness for audits by maintaining GMP compliance across upstream operations. Working Conditions: This position required to work in a lab/office setting. The role requires walking, standing, stooping, kneeling, and crouching. The employee must occasionally lift and or move up to 20 pounds independently. Qualifications Education & Experience BA/BS in Biological Science, Biotechnology, or Biochemical Engineering with 4 years' experience in upstream pharmaceutical manufacturing; OR MS with 2 years' experience in GMP upstream operations. Required Qualifications Hands-on experience with mammalian cell culture, seed train expansion, and bioreactor operations. Knowledge of process automation and single-use technologies. Familiarity with scientific principles driving biologics production. Strong deviation ownership, CAPA development, and technical writing skills. Ability to troubleshoot complex upstream issues and coach others effectively. Strong problem-solving and facilitation skills. Experience in training/mentoring operators in GMP upstream processes. Project management or Operational Excellence/Six Sigma background. Compensation Range: The base compensation range for this role is between $80,000 and $90,000. However, the actual compensation may vary depending on your experience and qualifications. Health Benefits and Program: Bionova offers health benefits at a subsidized rate. Healthcare, Dental, and Vision insurance Life Insurance and Disability Program: 100% covered by Bionova. Retirement Plan (401K) Up to 8% of Employer Match Paid time off up to two weeks 10 days of Holidays and 5 days of Sick Leave. As an equal opportunity employer, Asahi Kasei believes a diverse workforce will provide us with the ability to continuously support the changes in the economy, society, and environment.

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.

Imagine being at the forefront of an evolution where innovative AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding powerful architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains. This infrastructure forms the backbone of Apple's machine learning workflows across Camera, Siri, Health, Vision, and other core experiences, contributing to the overall Apple Intelligence ecosystem. If you are passionate about the technical challenges of running sophisticated ML models across all devices, from resource-constrained devices to powerful clusters, and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents a great opportunity to work on the next generation of intelligent experiences on Apple platforms. Our group is looking for an ML Infrastructure Engineer, with a focus on model compilation. The role entails working closely with model authoring, runtime, and performance teams to ensure that models can bring to bear the full capabilities of the hardware. We're building an end-to-end developer experience for machine learning development that employs Apple's vertical integration. This allows developers to iterate on model authoring, optimization, transformation, execution, debugging, profiling, and analysis. This role focuses on the core runtime for execution across a wide variety of devices and use cases. We're seeking a highly motivated software engineer who is creative, versatile, and passionate about machine learning, common compiler optimizations, and system software engineering in the fast-paced and dynamic field of machine learning. We have an MLIR-based compiler stack, and use it to target the neural engine, GPU, and CPU in order to harness the full capabilities of the system for ML workflows and execution. Familiarity with Swift. Familiarity with programming paradigms for the GPU, CPU, and Neural Engine. Familiarity with writing kernels for ML model execution. 3-5 years working on MLIR-based compilers. Familiarity with common ML model architectures, execution schemes, and operations. Familiarity with C++ Familiarity with PyTorch or related training frameworks

At Meta Reality Labs, we are developing the future of Wearables and Mixed Reality products. This team focuses on developing display and optics technologies for Meta products, creating see-through display systems that seamlessly blend the real and virtual realms. The role involves designing architecture and display sub-systems for wearable glasses, developing and implementing test, characterization, metrology, and data solutions to support transparent display systems. We're seeking an experienced Engineer to join our Reality Labs team, where you'll play a pivotal role in shaping the future of wearables. As a key member of our team, you'll explore innovative architectures and design spaces for our wearable devices, develop and analyze components, and drive detailed analysis. In this role, you will be part of a dynamic environment where you will consistently switch between high-level thinking and meticulous attention to detail to mature our architectures and designs. Minimum Qualifications * Bachelor's degree in Optical Engineering, Electrical Engineering, Physics, or a related technical discipline * 6+ years of industry experience with a proven track record of full product development cycle of Consumer Electronics * Experience and expertise in these areas: optical design software, geometrical optics, wave optics, and polarization optics, optical materials, coatings, manufacturing processes, Imaging optics design and manufacturing, display optics, optical sensing, optical system integration and testing * Technical leadership, communication, and project management skills * Problem-solving, analytical, and critical thinking skills Preferred Qualifications * Advanced degree in Optical Engineering, Electrical Engineering, Physics, or a related technical discipline * In-depth knowledge of electromagnetic modeling techniques, such as the finite element method (FEM), finite-difference time-domain (FDTD), and rigorous coupled-wave analysis (RCWA) * Experience working with optical design software such as Meep, Lumerical, LightTools, Zemax, Code V, FRED, or similar * Experience in building predictive optical models, validating designs and models with metrology data, and closing the loop between simulations and measurements * Experience using scripting languages and data analysis tools such as Python, JMP, or MATLAB * Experience working with external vendors to deliver custom optical components, modules, or systems, involving challenging optical requirements to drive innovative fabrication process development, and new opto-mechanical integration and metrology techniques * Process development and failure analysis experience for optical components and modules such as cameras, sensors, or illumination/projector systems * Experience in developing optical modules or systems in highly multidisciplinary environments, including setting specifications, determining test methods, and overall module and system integration Responsibilities * Lead cross-functional teams in the design, development, and implementation of cutting-edge optical solutions for new optics architectures, utilizing innovative materials and processes * Identify, incubate, and productize optical technologies that have the potential to revolutionize the field of Wearable optics * Specify key performance metrics, test methods, and test requirements for optical components and systems * Develop and maintain technical roadmaps * Interface with stakeholders and leadership to influence product roadmaps * Stay updated on industry trends, emerging technologies, and competitor activity * Manage budgets, resources, and collaborations with global vendors About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

** Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. **Job Description** **Essential Duties & Responsibilities:** + In this position, the individual will be responsible to develop NAND memory trim, push the performance and reliability envelope of flash memory which is used in best-in-class high-density storage application + The individual will be responsible for working in partnership with NAND design and system development teams to drive technology & product development + The individual will be responsible for defining, developing and executing NAND flash memory performance and reliability tests; analyze & report data to cross-functional teams to drive product and process improvements + The individual will communicate & work with members from process, design, reliability, and system groups to ensure timely product device support, memory qualification, and ramp of volume production **Qualifications** **Required:** + MS/PhD degree in Electrical Engineering, Applied Physics, or a related field + In-depth knowledge of semiconductor device physics, process, and reliability, as well as circuit design. NAND flash memory device and physics knowledge is also a must. + C/C++/Java Programming and Perl/Python Scripting + Ability to analyze problem and work independently as required **Preferred skills:** + PhD degree + Industry experience in semiconductor memory development, device engineering, reliability engineering, product/test engineering, is strongly preferred + Excellent communication and teamwork abilities **Additional Information** Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (*********************************************************************************************** . Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@sandisk.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. \#LI-TG1

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.