Advanced engineer jobs in California

San Jose Full-time Department: NAND Development Join a multibillion-dollar global company that brings together amazing technology, people, and operational scale to become a powerhouse in the memory industry. Headquartered in Rancho Cordova, California, Solidigm combines elements of an established, successful technology company with the spirit, agility, and entrepreneurial mindset of a start-up. In addition to the U.S. headquarters and other facilities in the U.S., the company has international presence in Asia, Europe, and the Americas. Solidigm will continue to lead the world in innovating new Memory technologies with aspirations to be the #1 NAND memory company in the world. At Solidigm, we view problems as opportunities to define innovative solutions that hold the power to change the world and unleash the potential technological needs that the future holds. At Solidigm, we are One Team that fosters a diverse, equitable, and inclusive culture that embraces individual uniqueness and empowers us to bring our best selves to deliver excellence in support of Solidigm's vision and mission to be the go-to partner for optimized data storage solutions. You can be part of the takeoff of an innovative business that develops cutting-edge products, delivers strong business value for customers, provides an engaging workplace for its employees, and serves a greater impact on the world. This is a golden opportunity for the right applicant to join us and help design, build, and lead Solidigm. We want a diverse team of dedicated professionals who will not just be Solidigm team members but contribute to how we shape the future of the organization. We are seeking applicants who will grow and thrive in our culture; be customer inspired, trusting, innovative, team-oriented, inclusive, results driven, collaborative, passionate, and flexible. Job Description As a Process Development Engineer at Solidigm you will be responsible for delivering module capability for the next node on the 3D NAND technology roadmap, partnering with the development team at the factory, as well as engaging with equipment vendors to deliver cost-effective and manufacturable process technology. As a Process Development Principal Engineer at Solidigm you will be responsible for delivering module capability for the next node on the 3D NAND technology roadmap, partnering with the development team at the factory, as well as engaging with equipment vendors to deliver cost-effective and manufacturable process technology. Key Responsibilities Lead the development and optimization of processes for 3D NAND semiconductor manufacturing Collaborate with cross-functional teams to identify and solve process issues and drive yield improvement Utilize your strong understanding of process principles, equipment, and materials to design and implement innovative solutions as well as driving cost reduction Conduct experiments and analyze data to make data-driven decisions for process improvements Monitor and track process performance, identify areas for improvement, and implement corrective actions Stay updated on industry trends and advancements in dry etch technology and integrate them Train and mentor junior engineers on processes and techniques Collaborate with equipment suppliers to ensure the smooth integration of new equipment and processes Contribute to the development of new process technologies to maintain competitive edge in the industry Qualifications Required Qualifications: A Master's degree in Electrical Engineering, Material Science Engineering, Physics, or similar technical degree. 12+ years experience semi-conductor industry experience 7+ years direct process development experience Established track record of innovation and results Preferred Qualification The ideal candidate will have direct experience in 3D NAND process development. Additional Information The compensation range for this role is $127,260 - $220,060 USD. Actual compensation is influenced by a variety of factors including but not limited to skills, experience, qualifications, and geographic location.

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 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.

Who we are: The Gill Corporation is one of the world's largest manufacturers of honeycomb, high performance floor panels, cargo compartment liners and original equipment for passenger and freighter aircraft. The company also excels in many other types of reinforced plastics including interior sandwich panels for creating structures such as aircraft galleys and bulkheads, honeycomb core and related products. Under general supervision, manage specific projects/tasks associated with continuous improvement and/or production sustainment; perform experiments and tests; record experimental data; make calculations and prepare brief reports covering the work Responsibilities: Develop and/or improve processes for the manufacture of new or existing products. Work with cross-functional teams (primarily Quality and Production) in leading efforts in improving product quality and customer satisfaction. Conduct root cause analysis and implement countermeasures to prevent failure recurrence. Develop and implement concepts, including Lean Manufacturing, etc., to reduce manufacturing cost and increase process throughput. Create/manage manufacturing documentation and provide technical oversight to bring high priority projects to a successful conclusion including training. Lead manufacturing trials supported by data analysis and recommend appropriate next steps. Work in a proactive manner to manage the technical direction of assigned manufacturing areas, in concert with the overall technical direction of the site. Plan and lead the incorporation of engineering flow down requirements to ensure on time delivery. Expanded technical competency of processes, materials, and products. Increased capability in workload management. Other essential duties may be assigned. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Required Qualifications: B.S. degree in Engineering or Science (Chemical, Mechanical, Material Science, Aerospace, Manufacturing, or Industrial Engineering fields) 2 to 4 years working experience in a manufacturing or laboratory environment Excellent verbal and written communication skills Strong mechanical aptitude and hands on mentality Ability to adjust to continuously shifting priorities Proficient computer skills - Microsoft suite (Word, Excel, PowerPoint, Project) Comfortable working on and around equipment and using proper PPE Ability to adjust to continuously shifting priorities Experience with composite materials and/or material sciences a plus Programming experience a plus (VBA, C or C++, etc) CAD experience a plus (CATIA, Solidworks, AutoCAD, etc) SAP experience a plus Knowledge of Lean Manufacturing principles a plus Minitab software experience a plus ITAR Requirement: This position requires access to information that is subject to compliance with the International Traffic Arms Regulations (“ITAR”) and/or the Export Administration Regulations (“EAR”). In order to comply with the requirements of the ITAR and/or the EAR, applicants will be asked to provide specific documentation to verify U.S. person status under the ITAR and the EAR. A “U.S. person” according to their definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee, or asylee. The Gill Corporation is an Equal Opportunity Employer . Applicants for all job openings are welcome and will be considered without regard to race, religious creed, color, age, sex, gender identity, gender expression, genetic information, sexual orientation, national origin, religion, marital status, medical condition, physical or mental disability, military service, veteran status, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, and local laws and ordinances. The Gill Corporation provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disability Act and applicable state and local law. If you require an accommodation in the application process, please notify the Human Resources Department

Manufacturing Test Engineering Manager (or Senior/Lead Test Engineer) Red Oak Technologies is partnering with our client, a leader in LiDAR sensor technology, to identify a highly skilled Manufacturing Test Engineering Manager. We are open to considering strong Senior or Lead-level Test Engineers who are ready to take on team leadership responsibilities while continuing to code daily. This role is fully onsite in San Francisco, CA. Position Overview The Manufacturing Test Engineering Manager will be a hands-on technical leader responsible for developing and maintaining production test software for high-volume LiDAR sensor manufacturing. The ideal candidate will have strong Python development skills, proven experience in test engineering for electro-mechanical assemblies, and the ability to mentor and guide a team while contributing individually on a daily basis. The role requires close collaboration with cross-functional teams to improve test coverage, reduce test time, and ensure production readiness as new products move from development into manufacturing. Key Responsibilities Develop, maintain, and improve production test software using Python for LiDAR sensor and sub-assembly manufacturing. Serve as a working manager, providing technical leadership while contributing hands-on daily. Mentor and train Test Engineers on both technical and soft skills. Establish team priorities, KPIs, and work goals aligned with product development schedules and company objectives. Collaborate with cross-functional teams on software development, verification, and validation for new product introductions. Drive continuous improvement initiatives, including test time reduction, data quality enhancements, and production process optimization. Apply software engineering best practices, including coding standards, code reviews, source control management, CI/CD pipelines, and test automation. Communicate project updates, risks, and recommendations to management and stakeholders. Ensure timely completion of team deliverables and proactively address constraints or delays. Support contract manufacturing facilities with occasional travel (less than 10%). Work full-time onsite in San Francisco, CA. Qualifications and Skills Strong proficiency in Python development (minimum 5 years). Experience with CI/CD infrastructure, GitLab, Jenkins, and SQL database design. Strong skills in debugging, programming, data collection, and data analysis. Experience using project tracking tools such as Jira, Confluence, or equivalents. Proven ability to deliver results in a fast-paced engineering environment. Excellent organizational skills with the ability to manage multiple concurrent projects. Demonstrated people management or technical leadership experience (3+ years preferred). Experience working with high-precision electro-mechanical assemblies. Preferred: Experience developing test software for high-volume production and test equipment. Education BS in Computer Science, Mechatronics, Mechanical Engineering, or a related technical field required. MS degree preferred. Additional Information Background screening is conducted by the client. The Manufacturing group has zero tolerance for misdemeanor or felony theft or robbery offenses. This position is within an electrical component manufacturing environment (not medical devices). About Red Oak Technologies Since 1995, Red Oak Technologies has been a trusted partner in the technology industry, specializing in identifying and placing highly skilled contract, permanent, and project-based professionals. We value diversity and welcome applicants from all backgrounds and experiences. Red Oak Core Values: Relationships First | Exceptional Quality and Service | Unwavering Integrity and Trust | Be Easy To Do Business With | Respect Everyone

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

Job Title: Principal Engineer Join our client's team as a Principal Engineer, where you'll be involved in supporting Clinical & Commercial Plant Automation programs and Capital projects, including complex automation initiatives Job Responsibilities Represent the Automation team during project planning, business case development, and cost estimates in partnership with key stakeholders. Estimate manhours and required resources based on project scope. Participate in the preparation and implementation of detailed design and schedule in partnership with Engineering and Project Management. Support post-implementation activities including operationalizing new assets, training the System Owners and Manufacturing team, revising SOPs, and updating asset systems. Ensure compliance to Engineering and Operational standards, specifications, and procedures during project design and implementation Skills Required: Degree in Electrical Engineering, Computer Science, Chemical Engineering, Biotech Engineering, or related life science engineering Experience with Emerson Delta-V DCS system and Rockwell Automation SCADA and PLC Platform. Knowledge of Process Control Network design including network segregation. Experience with System Integration using OPC, Foundation Fieldbus, ProfiBus, and DeviceNet technologies. Compliance with regulatory requirements such as 21 CFR Part 11, S88, S95, and GAMP. Proficient in project management skills and ability to influence and motivate others outside of direct line of authority. About SSi People: With over 26 years of industry experience, SSi People has built its reputation and expertise on putting people first. Everything we do works toward delivering an exceptional experience for our consultants, our clients, and our internal team. Through a genuine commitment to people in everything we do. We have developed refined processes and a stellar internal team to deliver talent quickly. More importantly, we focus on building long-term relationships, not transactions. Putting people first is just what we do w ell.By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from SSi People and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: SSi People Privacy Po licy

The Opportunity As a Research Engineer on the AI Innovation and Development team, you will play a key role in advancing research and scaling our engineering capabilities to support FICO's Focused series of foundation models. Your work will be crucial in shaping FFM/FLMs to be responsible and steerable, ensuring they meet the high standards of our regulated clients worldwide. - Senior Director of Research Engineering What You'll Contribute • Build, train and scale FICO's focused foundation models for financial services • Enhance distributed training and inference frameworks for compute utilization and stability • Develop systematic evaluations, reward models and asynchronous environments • Work with financial institutions, pre-sales & forward engineers on real-world tasks What We're Seeking • Strong in Python with proven experience in both ML and large distributed systems • Industry experience with transformer-based scaling, optimization and evaluation • Can balance novel research exploration with engineering rigor Nice to Have • Experience with applications of reinforcement learning and/or evolutionary algorithms • Experience with pre-training foundation architectures from scratch • Experience with inference and/or low-latency systems • Experience with Rust and communication collectives

***Onsite 8-5 PM Local time**** Top 3 Must Have Skill Sets: ***Post graduation experience require*** 1. laboratory experience using analytical equipment 2. evidence of good communication e.g. writing documents and sharing results 3. college degree in engineering or similar (chemical engineer, bio engineer, pharmaceutical science, etc) We are seeking a skilled Process Development Engineer who can work independently to support technical projects. The ideal candidate will have expertise in laboratory testing, drug product fill finish processing, holistic drug product process knowledge, technical transfer, and drug product manufacturing. Excellent communication skills and proficiency in technical writing are essential for this role. Author, data verify, and review guideline documents, technical protocols, reports, product impact assessments. Execute laboratory analytical testing such as: viscosity, protein concentration, pH, osmolality. Execute laboratory experiments such as pipetting, formulation, filtration. Provide technical support for drug product process development, including formulation, filtration, and filling (vials/syringes/devices) of parenteral products. Assist in the development and characterization of drug product processes and the transfer of new technologies to commercial sterile fill/finish sites. Support process development for commercial drug product processing in areas such as sterile processing, process characterization, tech transfer, and validation. Collaborate with manufacturing and support functions to provide coordinated support for commercial drug product manufacturing operations and technology transfer. Participate in global cross-functional teams, working effectively in a highly matrixed team environment to drive efficiency and foster strong relationships. Troubleshoot issues with drug product processing technologies and equipment, utilizing data-driven analyses and visualizations to determine true root causes. Enable Skills-Based Hiring No Basic Qualifications Master degree OR Bachelor degree and 2 years of experience OR Associate degree and 6 years of experience OR High school diploma / GED and 8 years of experience

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

Monitors, tests, and inspects products to ensure they meet specified standards, are free of flaws, and function as designed. The Quality Engineer may work in laboratory settings running tests and duplicating real-world conditions, using tools such as micrometers, calipers, gauges, volt meters, ammeters, ohmmeters, and electronic inspection equipment to aid in quality inspections and assessments. Responsibilities: Participates in the development of testing and inspection activities associated with product development and all stages of manufacturing. Defines and conducts both systematic/methodical and random/arbitrary tests to ensure proper performance of products. Reviews and creates inspection forms, records, techniques, and procedures for accuracy and relevance and provides changes when necessary. Lead/Facilitate Shop Floor Quality Improvement activities that include conducting Floor audits and training inspection team or operators on how to inspect their in-process parts effectively and efficiently. Education and Experience: Bachelor's Degree in Quality or Engineering Master's degree preferred 3-7 years experience in quality or manufacturing-related discipline 5 years supervisory experience preferred Belcan is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, origin, disability, genetic information, pregnancy, status or any other characteristic protected by federal, state or local laws.

Hii, Hope you are doing well. I have an immediate requirement, please let me know if you are interested in this role . Job Title : Quality Validation Engineer (USC/GC/EAD) Mode : Contract Type : C2C/W2 Job Description : Product software as a medical device - verification and validation activities for new products (Quality Engineer supporting the R&D team). Medical device - R&D product software . resource shall have a background in the medical/pharma domain. resource shall have product software validation experience and a minimum of 2 to 3 years of experience in Quality. shall have experience as a Software Quality Engineer or Validation Engineer and Quality Engineer. Job Summary: Provides technical and quality system guidance related to establishing product software as a medical device requirements. Provide quality oversight for product software as a medical device verification and validation activities for new products in accordance with design planning procedures. This includes, but is not limited to, reviewing and approving software test case protocols and reports, review of software development plans, and review of other system and software documentation. Leads meetings to prioritize, review and/or approve of action plans for addressing issues captured in problem resolution systems during development. Leads risk evaluation and associated management activities related to product software development including Risk assessments (e.g. FMEA), product risk analysis, and mitigation of software issues. Participates in technical and management reviews to ensure design plans, product design and deliverables related to product software are met. Represent the quality engineering function for the review and approval of designated design controls. May provide quality oversight for non-product software validation by assessing the need for validation and preparing and/or supporting protocols, reports and other documentation as required. May be involved with supporting product cybersecurity assessments in conjunction with a cross-functional team Complies with US FDA regulations, other country regulatory requirements, company policies, and procedures. Maintains a strong, collaborative partnership with cross functional team members especially with software supplier. Works as an individual contributor and may provide guidance of other QE team members. -- -- Thank you, Deepak Singh Email: ****************************

A large pharmaceutical company in Los Angeles is in immediate need of a CQV Engineer for a 12-month project, this is an onsite position and is 40 hours/week. The client needs someone with Facilities CQV experience including EMPQ, Vessel IOV and IOPQ including mixing and temp mapping. They have personnel assigned to Utilities (WFI, Alcohol, N2, Compressed Air, etc.), CIP, Filter Press, Centrifuge, CIP skids and Cleaning Validation; this experience is preferred in case they need additional support. The project also requires daily job walks of the construction site daily in full PPE. Top Requirements: BS degree minimum 3-10 years of Validation Engineering experience in pharmaceutical industry Strong skill set in installation and IQOQ of equipment like centrifuges, filter presses, and processing tanks Cleanroom qualification experience is a plus Very strong technical writing/documentation skills Very strong communication skills and ability to coordinate with cross-functional teams Experience doing job walks with engineers for capital projects Must have a positive attitude and ability to multi-task Must be committed to supporting a long-term project that could go for 2 years Must be available to support other shifts as requested by the client, this could happen on short notice

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

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.

This position is bond-eligible and is strictly limited to work associated with capital construction, modernization, and sustainability projects as defined under the BuildLACCD Bond Program. Duties performed under this position shall not include routine maintenance, repair, or operational tasks that fall within the responsibilities of facilities Maintenance & Operations (M&O). The scope of this role is exclusively tied to bond-eligible activities such as planning, design, construction, commissioning, and related project management functions necessary to deliver capital improvements consistent with LACCD's Capital Construction Bond Program requirements and legal limitations governing bond fund expenditures. Position Description: Lead and manage sustainability projects in accordance with District and program policies and procedures for College construction bond operations. Implement the electrification of central plants and other building systems outlined in the Board of Trustees' Clean Energy Resolution passed in July 9, 2020. Apply knowledge of Sustainable Building Principles and Standards to assist with complex systems level issues. Support districtwide energy master planning, carbon reduction, grid resiliency, and electrification initiatives. Apply knowledge of energy and environmental sustainability approaches, such as LEED credits, and its related impacts to operational efficiency. Understand Title 24 and ASHRAE recommendations. Coordinate with multi-disciplinary teams in conjunction with Project Managers, to meet project requirements and timelines. Assist College Project Teams (CPT's) with technical issues that require second opinions i.e. peer review of Request For Clarifications (RFC's), Change Orders, etc. Travelling to and from project sites upon request of attending project and construction meetings. Involvement in all parts of the project life cycle, to include master planning, design, construction, and closeout. Perform electrical engineering analysis and technical reports supporting District design guidelines. Ensure integration of LED lighting systems, PV, BESS, EV charging, microgrids, and smart controls. Perform other related duties as assigned by the PMO and LACCD. Minimum Required Qualifications: Bachelor's Degree in in Electrical Engineering 10 or more years of professional electrical engineering experience in design, construction, or facilities infrastructure projects. Strong knowledge of California Energy Codes, Title 24 Energy Code, National Electrical Code (NEC), California Code of Regulations Part 11 (Cal Green Code) and applicable electrical engineering standards. Preferred Qualifications: 2 years' experience in Educational Facility Construction Experience and/or certification in Leadership in Energy and Environmental Design (LEED) certified projects and/or the Collaborative for High Performing Schools (CHPS) California Professional Engineering (PE) license in Electrical Engineering Benefits: Compensation: Salary between $140,000 - $155,000 per year. This is an exempt position. The payroll cycle is every two weeks. Holidays: Eight (8) paid holidays per year. Personal Time-Off (PTO): 120 Hours paid PTO for vacation and sick time. Accrual begins on the first day of employment. Additional PTO will follow Owais Construction Group policy and procedures. License, Certificate, and Professional Development: Owais Construction Group will reimburse you for license and/or certificate renewal fees and industry-related education, with a passing grade of B or above, up to $1,000 per year. Insurance: Participation in the Owais Construction Group medical, dental, and vision insurance(s). Owais Construction Group provides paid medical and heavily discounted premiums for dental and vision coverage. We currently carry Kaiser and Anthem Blue Cross plan options. 401(k) Plan: Owais Construction Group will make a matching contribution equal to 100% of your salary deferrals up to 3% of your compensation plus 50% of your next 2% salary deferrals. For example, if you defer 5%, your total match will equal 4% of your compensation. Employee discount.

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.

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