Senior engineer jobs in Salinas, CA

🚀 Senior Backend Engineer - AI Application Builder 📍 SoMa, San Francisco, CA | 💼 Full-Time | Onsite 💰 Salary: $200K-$325K + Meaningful Equity (1%+) Join an early-stage AI SaaS start-up creating an application builder that empowers business users to build custom applications where humans and AI collaborate seamlessly across enterprise systems. The company addresses complex enterprise challenges, including multi-day workflows, cross-system integrations (ERP/CRM/financial platforms), secure VPC hosting, and enterprise-grade observability, logging, identity, and compliance controls. About the Role We're looking for a Backend Engineer to lead the development of backend systems and architecture. This is a rare opportunity to take ownership of core systems in an early-stage company, shaping architecture, scalability, and reliability from the ground up. You'll tackle challenging problems like orchestrating multi-system workflows, processing large-scale data asynchronously, and safely executing AI-generated code - all while collaborating closely with the applied AI team. What You'll Do Design and build the core workflow engine - the orchestration layer connecting agents, data sources, and frontend views. Develop and scale the TypeScript-based backend, handling asynchronous execution, retries, and deterministic routines. Build and maintain integration layers for REST APIs, SQL sources, and third-party systems. Collaborate with the applied AI engineering team to integrate automation and intelligence across systems. Define and enforce best practices for backend architecture, reliability, and developer experience as the company scales. Who You Are (Must-Haves) 4-15 years of professional software engineering experience. Strong experience with TypeScript, Node.js, and modern backend architectures. Experience designing complex data models and managing asynchronous tasks/workflows. Prior experience working in early-stage startups or high-growth environments. Experience integrating multiple systems, including REST APIs and SQL sources. Excited by building scalable systems and comfortable in a startup environment. Excellent problem-solving, collaboration, and communication skills. Nice-to-Haves Experience building or integrating AI / LLM-powered applications. Familiarity with Temporal or similar orchestration/workflow systems. Exposure to other modern backend frameworks or cloud technologies (AWS, GCP, Kubernetes). Why Join? Competitive salary: $200K-$325K + meaningful equity (1%+) in an early-stage company. Work alongside experienced founders who have successfully scaled AI and enterprise SaaS products. Shape the architecture and direction of a high-impact backend system used across complex workflows. Be part of a small, highly motivated team at the forefront of AI and enterprise applications.

Work with a client's test engineering team to create test plans for components. This includes creating test cases, executing manual tests, and finding and reporting bugs. General Skills: Camera & Photography Testing, Black Box Testing, Cross Browser/Cross Platform Testing, Documentation Testing, Exploratory Testing, Functional Testing, Integration Testing, Regression Testing, User Acceptance Testing (UAT), System Testing, Manual Testing, Transformation - Test Case Optimization & Enrichment. * Specialized Skills : Back-end Testing, Carrier Testing, Compatibility Testing, Compliance Testing, Accessibility Testing, API/Services Testing, Device Testing, Globalization/Localization/Language Testing, Mobile App Testing. Key Qualifications : * Proficiency in working on Unix/Linux or Windows (admin level). * Good analytical skills. * Excellent communication skills, both verbal and written. * Working knowledge in creating, reviewing, and updating test scripts.

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

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team We are the Strategic Partnerships & Affiliates team in the Expedia Product & Technology division of Expedia Group. We are building the next-generation, scalable B2B partnership platform that will power hundreds of thousands of demand partners across the industry ranging from big businesses and Enterprises to small bloggers, micro influencers and creators in helping them recommend Expedia Group brands to their audiences and in the process grow their businesses. We aim to redefine the travel partnerships sector by building innovative partner tools and solutions that incorporate the new ways in which today's travelers discover and shop travel products. To do this, we need technically passionate engineers with an entrepreneurial approach who love challenges, enjoy problem solving and take pride in delivering best-in-class products. You will work with a geo-distributed, cross functional team of 50+ engineers designing and developing solutions for complex problems with a wide-reaching business impact. In this role, you will: Design, develop, and test iOS applications and supporting components to meet functional and non-functional requirements, including performance, accessibility, and localization Lead the technical design and delivery of complex, multi-quarter projects from concept to completion Develop, test, and maintain high-quality, scalable mobile software applications and services Guide and mentor other engineers, fostering their technical growth and professional development through code reviews, pairing, and coaching Promote mobile development best practices within the organization, focusing on user experience, operational excellence, and platform-centric features Advocate for and implement operational excellence by improving code quality, establishing SLAs, and programming for resiliency and scalability Collaborate with product managers and cross-functional teams to translate business needs into clear engineering requirements and direction Analyze and optimize the performance of code and systems, using metrics and monitoring to ensure a world-class user experience Serve as a subject matter expert in your domain, sharing knowledge and guiding integrations across teams Minimum qualifications: 8+ years of experience in iOS software development with a Bachelor's degree or 5+ years of experience with a Master's degree Deep understanding of iOS development and SwiftUI Experience architecting scalable, modular, and maintainable iOS mobile architectures, leveraging common design patterns such as MVVM, VIPER Expert in API integration, Performance & Memory management Proven ability to collaborate among peers, leaders and across functions and business groups Proven ability to mentor junior engineers on the team Preferred Qualifications: Demonstrated experience integrating iOS applications with GraphQL APIs, including designing data queries, handling network responses, and optimizing for performance and reliability Proven ability to collaborate with backend teams and contribute to backend services developed in Java or Kotlin, understanding backend architecture and implementing end-to-end mobile features Demonstrated experience integrating iOS applications with 3rd party SDKs and APIs

Mission To engineer the next generation of AI-Assisted Human Annotation Systems. Our goal is to scale the production of high-quality, personalized, and safety-aligned datasets. Key Responsibilities Participate in the customer solution - making process and provide guidance on data services; Design and develop Agent-Assisted Annotation Workflows; Build Automated Quality Evaluation Frameworks; Synthetic Data Generation (SDG) Pipeline; RAG & Fact-Checking Integration. Requirements Tech Stack: Mastery of Python; deep experience with LangChain, LlamaIndex, or custom Agent frameworks. LLM Engineering: Proven experience manipulating LLM APIs for complex tasks (chain-of-thought construction, few-shot prompting). Data Operations: Familiarity with RLHF data formats (SFT/DPO/PPO) and data versioning tools. Mindset: A "Data-Centric AI" philosophy-you understand that code is static, but data is dynamic, and you build tools to manage that complexity.

Frontend Engineer Duration: 6+ months (possible extension) Type: W2 Contract (Open to Consider USC, GC, EAD) - No Third Party or C2C Experience: 6+ Years in an Enterprise Environment with BS or MS in Computer Science. Must Have: JavaScript, React.JS, Typescript, NodeJS and REST API Job Summary: Seeking a Frontend Engineer with strong experience in JavaScript, HTML, CSS, and hands-on expertise in React and Node.js. The role involves building scalable, high-quality UI components and collaborating in an Agile development environment. Responsibilities: Develop and maintain frontend modules using JavaScript, HTML, CSS, React, and Node.js. Implement unit testing (JUnit) and ensure code quality. Utilize jQuery and core data structures where applicable. Work closely with cross-functional teams in an Agile/Scrum setup. Participate in solution design, code reviews, and feature development. Required Skills: Bachelor's degree in Computer Science or related field with Strong proficiency in JavaScript, HTML, CSS. Must-have: React.js and Node.js. Experience with unit testing tools (JUnit). Good understanding of data structures and jQuery.

Systems Engineer - Video Intelligence Infrastructure - San Francisco About the Company A Series A Funded start-up who already have millions in recurring revenue are building next-generation AI infrastructure for video intelligence are looking for a Systems Engineer to join their team. What You'll Be Doing: Design and engineer systems that handle compute, scheduling, and orchestration of complex ML + ETL pipelines Optimize hyper-fast distributed systems running at the scale of thousands of GPUs Build systems that process video data quickly, reliably, and cost-effectively at internet scale Develop robust internal tooling and CI/CD pipelines for rapid ML team iteration Focus on system uptime and performance optimization for mission-critical infrastructure What We're Looking For: 3+ years building foundational data infrastructure Experience designing and maintaining pipelines that process petabytes of data Strong background developing CI/CD pipelines for ML-focused teams Excellent coding skills in Go and Python Independent contributor who leads by example What's In It For You Competitive salary up to $250k Small, high-impact team with significant growth trajectory Opportunity to work with top AI video labs and collect world-class datasets Apply now for immediate consideration!

We are actively searching for a Founding Backend Engineer to join our team on a permanent basis. In this position you will lead the design and development of our backend infrastructure that powers our protocol (think everything off-chain). If you are someone that is impressed with what Hyperliquid has accomplished then this role is for you. We are on a mission to build next generation lending and debt protocols. We are open to both Senior level and Architect level candidates for this role. Your Rhythm: Drive the architecture, technical design, and implementation of our backend infrastructure Build and maintain low latency indexing infrastructure Build and maintain our offline and online data analytic pipelines that power our trading and risk engines Lead code reviews, providing constructive feedback and ensuring adherence to established coding standards and best practices Your Vibe: 6+ years of professional software engineering experience 1+ years of experience working on backends interacting with blockchains in production environments 5+ years of experience working with a modern backend languages (Go, Rust, Python, etc) in distributed architectures Strong knowledge around DeFi products Open to collaborating onsite a few days a week at our downtown SF office Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

A Product Engineer in this role will focus on building and scaling a high-quality AI agent product with strong UX, full‑stack development, and close user collaboration, and should bring 2+ years of startup experience, strong TypeScript skills, and a deep interest in the AI agent space while helping build “high-taste” products for self-learning AI agents and playing a key role in scaling the product to meet growing customer demand while maintaining an exceptional user experience in a rapidly evolving AI agent ecosystem. Responsibilities Collaborate closely with a product designer to ship new features and refine existing user flows based on customer feedback. Engage directly with customers to understand needs, gather feedback, validate ideas, and pitch new features. Develop core product features across the stack (front-end, back-end, and database work) with a focus on quality and reliability. Experiment with new features and technologies, build quick demos for the team, and productionize promising solutions. Contribute to product and design reviews, ensuring the experience is intuitive, polished, and delightful to use. Requirements 2+ years of experience in product, full‑stack, or front‑end engineering at technology startups (Seed to Series E). Proficiency in TypeScript, with experience either across the stack or in front‑end‑leaning roles. Experience at a high‑taste product company or at an AI/agent‑native startup. Undergraduate degree in Computer Science, Engineering, or a related field. What we're looking for Strong product sense and attention to user experience; you care about how things feel, not just how they work. High agency and ownership mindset-you proactively find problems, propose solutions, and ship iteratively. Genuine excitement about the AI agent space and improving agent behavior for real users. Comfort working in a fast-moving, experimental environment with tight feedback loops from users and teammates.

A SF Bay Area based cutting-edge startup, which is leading the charge in transforming observability for today's data-driven world is looking for seasoned software engineer to join them as a principal engineer. As the founding engineer you will lead the design and development of their Telemetry Data Management Platform. This pivotal role involves crafting scalable backend systems that integrate seamlessly with open technologies like OpenTelemetry, ensuring our platform remains at the cutting edge of observability solutions. Responsibilities: Develop and scale the backend of their Telemetry Data Management Platform, emphasizing compatibility with open technologies such as OpenTelemetry. Architect systems that process and analyze vast amounts of machine data efficiently. Actively participate in strategic planning and the development of technical roadmaps. Work closely with the founders to ensure features meet customer needs and are delivered to a high standard. Collaborate with the team to enhance integration with widely-used observability tools, ensuring robust and flexible data ingestion and analysis capabilities. Qualifications: BSc in Computer Science, Engineering, or a related field. Over 8 years of experience in backend development, with a strong background in handling large-scale data systems. Expertise in programming languages like Go, Rust, Java, or Python and a proven track record in building scalable server architectures. Experience with open-source technologies and standards, particularly OpenTelemetry, is highly desirable. Familiarity with cloud services, microservices architectures, and continuous integration/continuous deployment (CI/CD) pipelines. 180-210k base + equity

The Role Our client is looking for a Lead AI Engineer to spearhead the development of our state-of-the-art foundation model for manufacturing and CAD. This is a leadership role at the intersection of AI, technical architecture, and company vision: a chance to shape not only our models, but the direction of AI in the physical world. What You'll Do Architect and lead the development of a next-generation foundation model that integrates text, geometry, and design intelligence. Build and code: set the standard for technical excellence in ML engineering and model development. Define and own the technical roadmap for Backflip's core model, including architecture, data, training, and evaluation strategy. Shape AI strategy in close collaboration with Backflip's leadership team, ensuring the technical direction is in harmony with product and customer goals. Drive execution: set ambitious objectives, define milestones, and uphold a high technical bar across the team. Mentor and develop engineers across AI and software, fostering growth, creativity, and technical mastery. Collaborate deeply with customers, product, and the sales team to ground model design in real-world feedback and deliver impactful AI-powered tools. Ship real products. You've done it before, and you'll do it again - taking models from research to production systems used by real people in the physical world. Who You Are You've led and shipped at least one (ideally multiple) ML products or large models into real-world production. You have deep experience building large-scale multimodal or generative models (text, 3D, or visual), and are fluent in PyTorch, distributed training, and modern ML infrastructure. You're comfortable thinking across architecture, data, and evaluation, and thrive in the ambiguity of solving hard problems end-to-end. You've led teams or initiatives that influenced company direction, product definition, or customer experience. You bring strong communication and leadership skills, with a clear sense of how technical vision connects to product and customer value. You care deeply about building tools that expand human capability, not just optimizing benchmarks. You're inspired by the opportunity to redefine how AI reshapes manufacturing and design in the real world. What We're Looking For 5-7+ years in deep learning / generative AI with a record of shipping complex systems. Expert in multimodal and generative models (transformers, diffusion, autoregressive); strong Python + PyTorch. Evidence of technical leadership as an IC: you've set standards, led cross-functional efforts, and made architectural decisions that lasted. Fluency from research to production: data strategy, training, tooling, serving, and performance engineering. Bonus Experience with CAD, 3D geometry, graphics, differentiable programming, or AI for the physical world.

San Francisco Bay Area A pioneering space company developing next-gen orbital mobility solutions is hiring an Avionics and Software Lead to own the full stack of spacecraft avionics and flight software for a new Spacecraft Development. This is a rare opportunity to architect, build, and validate a complete flight system from scratch, working on cutting-edge propulsion-enabled platforms designed for responsive orbital manoeuvring. In this role, you'll define the avionics architecture, lead integration of radiation-tolerant electronics, and drive flight software development-including GNC algorithms, EPS design, and hardware-in-the-loop testing. You'll collaborate closely with cross-functional engineering leads to ensure spacecraft safety, autonomy, and reliability from concept through CDR. This is a hands-on leadership role for someone excited by the challenge of building high-performance spaceflight systems in a rapid development environment. What You'll Be Doing: Own the full avionics and flight software architecture through critical design review (CDR) Select and integrate COTS radiation-tolerant components for power, compute, and data handling Lead development of flight and ground software (telemetry, real-time control, fault management) Define and implement guidance, navigation, and control (GNC) algorithms Design electrical power systems (EPS), data bus architecture, and flight harnessing Build and operate a flat-sat HIL testbed for integration and validation Develop ICDs and maintain firmware/software configuration processes Support subsystem integration and testing campaigns Conduct FMEA and reliability analyses Lead subsystem design reviews and contribute to broader mission engineering milestones What You'll Need: Bachelor's degree in software engineering, electrical engineering, or similar 8+ years of experience developing avionics or flight software for spacecraft or other high-reliability systems Strong background in embedded systems, spacecraft autonomy, or GNC Proficiency in C/C++ or Rust; Python for scripting/testing Experience with radiation-hardened processors and electronics (Microchip, Xilinx, etc.) Familiarity with CAN, SpaceWire, RS-422, and other bus protocols HIL integration experience and knowledge of EMI/EMC and power distribution design principles U.S. Person (citizenship or permanent residency) required Desirable Experience: Autonomy frameworks or fault-tolerant flight software Space-rated EPS or battery management systems Responsive space operations or in-space logistics Previous experience in a startup or fast-paced R&D environment

ATTN - PLEASE READ CAREFULLY: WE CAN NOT SPONSOR NEW VISAS OR TRANSFER EXISTING VISAS. AT THIS TIME WE'RE ONLY CONSIDERING US CITIZENS OR GC HOLDERS. WE'RE LOOKING FOR SOMEONE WHO HAS SIGNIFICANT APPLICATION SECURITY EXPERIENCE-SOMEONE WHO HAS DESIGNED SECURE ARCHITECTURES, IMPLEMENTED CONTROLS ACROSS THE SDLC, AND PROACTIVELY IDENTIFIED AND MITIGATED VULNERABILITIES IN LARGE-SCALE DISTRIBUTED SYSTEMS. THE SUCCESSFUL CANDIDATE SHOULD ALSO HAVE A STRONG TRACK RECORD OF PARTNERING WITH ENGINEERING TEAMS TO IMPROVE OVERALL SECURITY POSTURE THROUGH ARCHITECTURAL GUIDANCE, SECURE CODING BEST PRACTICES, AND CONTINUOUS SECURITY EDUCATION. Picture a company redefining how life sciences harness data - one that turns the noise of fragmented scientific systems into the clarity that accelerates discovery, development, and ultimately, human progress. This Scientific Data Cloud pioneer has built a cloud-native ecosystem engineered specifically for the life sciences, connecting laboratory instruments, informatics systems, and analytics applications into a single, intelligent network. The result: harmonized, actionable scientific data that transforms R&D velocity and precision across discovery, development, and manufacturing. Trusted by the world's leading biopharma innovators, their open platform serves as the digital nervous system for scientific operations - empowering researchers and partners to unlock insights at unprecedented scale. Think of it as the Palantir of Life Sciences - designed not just to visualize complexity, but to ingest and process petabytes of scientific data through advanced taxonomies and ontologies that bring structure, context, and meaning to an otherwise chaotic scientific landscape. Through deep collaborations with global leaders in cloud computing and AI, this company is building the foundation for a new era of Scientific Intelligence - one where every experiment, every dataset, and every discovery is connected, contextualized, and exponentially more powerful than before. Senior & Lead Application Security Engineers We're looking for a hands-on Product Security Technical Lead to drive the design, implementation, and evolution of our security engineering program. You'll lead a team of Security Engineers focused on hardening our SaaS and data platforms by breaking things before attackers do - identifying vulnerabilities, building secure infrastructure, and integrating protection across our CI/CD pipelines. This role demands deep technical expertise across AWS, Python, and application & cloud security, along with a hacker's curiosity and a builder's discipline. Why This Role: • You'll have complete ownership of product and cloud security from architecture to execution. • You'll lead by doing - hacking, breaking, and building resilient systems. • Be part of a company where security isn't an afterthought - it's a product feature. Job Responsibilities • Own and evolve the organization's entire application security posture, with a focus on application and cloud security across all product lines. • Perform offensive and defensive security assessments - threat modeling, code review, penetration testing, and vulnerability exploitation. • Build and integrate automated security tooling (SAST, DAST, dependency scanning, IaC scanning) into CI/CD pipelines. • Develop security automation and internal tooling using Python, Bash, or Go. • Partner with Engineering, DevOps, and Infrastructure teams to ensure secure AWS architectures (VPC, IAM, KMS, GuardDuty, CloudTrail, WAF). • Oversee incident response and root cause analysis for product and infrastructure-level security events. • Define and enforce secure coding standards, and lead threat modeling sessions for critical features and services. • Continuously hunt for vulnerabilities, test assumptions, and “break things safely” to strengthen the platform. Preferred Qualifications: • Certifications such as AWS Certified Security - Specialty, OSCP, or CISSP. • Experience in SaaS, Big Data, or high-scale distributed environments. • Knowledge of MITRE ATT&CK, OWASP Top 10, and secure software design principles. Required Skills & Experience: • 8+ years of hands-on experience in Application, Cloud, or Product Security roles, with lead or staff-level responsibilities. • Deep expertise in AWS security architecture and service hardening. • Advanced programming and scripting ability in Python (Bash or Go a plus). • Proven experience with offensive security: hacking, exploit analysis, or red team operations. • Strong foundation in vulnerability management, threat modeling, and incident response. • Proficient with DevSecOps tools and modern CI/CD environments. • Familiarity with container and orchestration security (Docker, Kubernetes, EKS). Required Education • Bachelor's degree in computer science or another equivalent degree.

IT Engineer - Oracle ERP & PL/SQL (6-Month Contract | On-site, San Jose, CA) We are seeking a highly experienced and technically skilled IT Engineer with deep expertise in Oracle E-Business Suite (EBS) and PL/SQL development. This is a critical 6-month contract role, requiring candidates to work On-site in San Jose, CA, with the possibility of extension. Role Details: Job Title: IT Engineer - Oracle ERP & PL/SQL Location: San Jose, CA (On-site Required) Duration: 6 months (with potential for extension) Implementation Partner: Infosys End Client: To be disclosed (Major Enterprise Client) IMPORTANT: Eligibility Requirements Due to client mandates, only candidates who are legally authorized to work in the US without sponsorship can be considered: US Citizens (USC) & Green Card Holders (GC) ONLY Job Description & Technical Requirements The ideal candidate will have a minimum of 8 years of experience in Oracle EBS technical development and support. You will be responsible for designing, developing, and optimizing solutions within the Oracle database environment. Core Technical Expertise: Oracle EBS & PL/SQL Development: Minimum 8 years of hands-on technical development and support experience in Oracle E-Business Suite (EBS) and Oracle PL/SQL. Database Programming: Expertise in Oracle PL/SQL, SQL, including designing, developing, and maintaining stored procedures, packages, functions, and triggers to support and enhance EBS applications. Module Understanding: Comprehensive technical understanding of key Oracle EBS modules, specifically Order Management, Shipping, and Inventory. Customization (RICEW): Proven ability to develop and customize Oracle EBS applications, including Reports, Interfaces, Conversions, Extensions, and Workflows (RICEW objects), using Oracle development tools (Oracle Forms, Oracle Reports, Oracle Workflow, and BI Publisher). Performance Tuning: Strong skills in optimizing SQL queries and PL/SQL code for maximum performance and efficiency within the Oracle database environment. Architecture: Strong understanding of Oracle EBS architecture and data models. Key Responsibilities: Technical Support: Provide technical support and troubleshooting for Oracle EBS modules, resolving complex issues related to performance, data integrity, and system errors. Collaboration: Collaborate effectively with functional teams, business analysts, and end-users to translate business requirements into technical specifications and solutions. Implementation: Implement and configure Oracle E-Business Suite (EBS) applications, ensuring alignment with business processes. SDLC Participation: Actively participate in all phases of the Software Development Lifecycle (SDLC). Documentation: Create and maintain comprehensive technical documentation and user guides. 📩 How to Apply: You can share resumes at ******************** OR Call us on *****************

The CAD Engineer is responsible for designing and developing new motor assemblies, managing part design, and overseeing change management for existing motors. Essential Duties and Responsibilities · Design and develop motor products, including the creation of 3D CAD models, detailed drawings, and proof-of-concept evaluations. · Generate drawings and bills of materials (BOM) for Moons' motor projects; collaborate with cross-functional teams to define manufacturing processes, supply chain strategies, and inspection standards. · Coordinate with supplier factory teams; conduct comprehensive design reviews for parts and tooling quotations, support part and tool development, and contribute to first article inspections for part approval. · Assemble, test, and analyze First Unit to Test (FUTT) prototypes. · Participate in Design for Manufacturability and Effects Analysis (DFMEA) as required. · Conduct performance testing and establish product specifications. · Offer technical expertise to manufacturing operations, Lin Engineering's design engineers, and procurement personnel. · Manage Engineering Change Notices (ECNs). · Assess competitive products and compile reports to identify opportunities for improvement. · Assist in product field failure (RMA) analysis. · Complete and follow up on engineering requests/orders. · Perform additional responsibilities as assigned. General Requirements: · Consistently meets the performance factors outlined on the Performance Appraisal form and adheres to Company Core Values and operating principles. · Demonstrates commitment to Lean implementation by applying methodologies such as Process Mapping, Visual Management, Workplace Layout, Standard Work, and minimizing the 7 Wastes. · Maintains open communication with managers, colleagues, affiliates, vendors, and other business contacts. · Ensures safe use of equipment and materials by following prescribed safety procedures and implementing appropriate safeguards. · Upholds Lin Engineering's standards and promotes compliance among peers. · Exhibits organizational skills, independence, reliability, attention to detail, adaptability, and a dedication to excellence. · Adjusts workload and priorities effectively in response to evolving deadlines and requirements. · Possesses strong written and verbal communication abilities, including proficiency in grammar and business correspondence. · Demonstrates thorough knowledge of clerical and administrative practices and delivers high-quality customer service. · Maintains a neat and professional appearance. · Collaborates effectively with team members. Deliverables · Decrease ECN response time. · Reduce RMA occurrences due to ECN. · Minimize errors in drawings and technical details before ECN submission. Qualification Requirements: Candidates must be able to perform all essential duties satisfactorily. The requirements below represent the knowledge, skills, and abilities necessary for this position. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions. Education and/or Experience: · A Bachelor's degree in Mechanical Engineering from an accredited institution is required; 0-3 years of experience in product design and engineering change management preferred. · Experience as a design engineer for high-volume mechanical products utilizing die casting, injection molding, machining, and stamping techniques is desirable. Knowledge of motor design is advantageous. · Strong understanding of manufacturing processes related to part and assembly design. · Proficiency in GD&T and its application. · Experience with mechanical and electrical test equipment (e.g., calipers, machine tools, oscilloscopes, DMMs, dynamometers, torque transducers) is a plus. Computer Skills: · Proficient in Microsoft Office Suite, including Outlook, Word, Excel, PowerPoint, and MS Project. · Proficient in computer-aided design software such as SolidWorks, Autodesk, Pro/E, or comparable mechanical design programs. · Familiarity or experience with SAP is considered an asset.

Founding Engineer On-Site San Francisco, CA $170,000 - $200,000 About: We are seeking versatile Sr Software Engineers who specialize across disciplines - Machine Learning, Data Engineering, and Full-Stack Development. The ideal candidate is willing to get their hands dirty, push boundries, and driven by a need to succeed. You will be ready to work diligently and build rapidly to win the market. You should be prepared to challenge existing concepts and develop alternative solutions. Job Summary: You'll operate at the cutting edge of LLMs, computer vision, and data engineering to automate compliance in precision-focused industries. You'll also collaborat with major global industrial partners. Your work will help build a product that leading organizations will depend on to prevent accidents, protect lives, and transform the way they run their operations. Who You Are: Able to make decisions quickly. Proactive. Comfortable with TypeScript, Python, Docker, LLMs, YOLO, Tesseract, PostgreSQL, AWS, and React Native. Have a history of building products that have been used. Thrive under pressure and within an unstructured environment. What You'll Do: Speak with users and gather their needs, experiences, and problems. Architect systems that will be used daily by others at billion-dollar companies. Build agent-swarm data pipelines that will autonomously audit. Maintain and scale infrastructure. Produce quickly without the fear of perfection. Work directly with the founding team and customers.

Day to Day: Under this position, the employee will, under only general supervision from the Project Manager, exercise independent judgment and discretion to manage the on and off site execution of daily project requirements and activities, while flexibly responding to customer demands. Value engineering, cost reduction and risk mitigation are essential requirements of each assigned project. Using sound project management techniques oversees the required day to day project execution activities of our subcontractors and field execution teams. Responsible for cost/budget allocations of projects and activities assigned. Responsibilities will include maintaining a high level of customer satisfaction while balancing the project demands and financial goals. EDUCATION AND EXPERIENCE: Bachelor's degree in Mechanical Engineering, Electrical Engineering or Construction Management is preferred and/or 4-8 years of related work and engineering experience in the Controls or Construction Industry. Strong mechanical aptitude and any technical school training. Ability to read construction blueprints and electrical schematics. Working knowledge of MS Office, Windows, File Structure, AutoCAD, VISIO. Basic TCP/IP network structure and web navigation are desired. Must be highly organized and possess the ability to work in a high paced environment with the ability to prioritize tasks to meet the schedules given by Sunbelt leadership. Demonstrates effective work delegation techniques and can provide constructive work instructions to Sunbelt, subcontractor, and other vendor personnel. Has the ability to operate independently and autonomously and take ownership of all assigned tasks. Must possess a valid California driver's license. Ability to execute their work to ensure high customer satisfaction and the highest quality deliverable. Excellent oral, written and interpersonal skills are a requirement of this position. ESSENTIAL FUNCTIONS: Develops personal intellectual and technical product knowledge specific to the needs of the business and that of specific projects. Production of controls systems design drawings, sequence of operations and submittals for lower level control systems while supporting Senior Level Design Engineers for mid-level control systems as required. Research and selection of control system peripherals and end devices as necessary. Reading and interpreting project construction drawings and specifications to ensure scope compliance. Provides value engineering and cost reduction solutions to the Project Manager. Manages the project's material procurement process and coordinates the shipments of material to the site and/or other trades for assigned projects. Selects and orders appropriate materials. Maintains and monitors material usage, cost and inventory control. Obtains lead time discounts when possible. May perform modification of previously produced controls designs to reflect field changes made during the implementation process (As-Built drawings). Manages and provides documentation for the project file including correspondence, requests for information, change orders, logs and project schedules. Change order management and upselling of scope is a requirement of this position. Manages and oversees project construction for compliance with specifications, codes, material, installation techniques, safety activities and Sunbelt standards. Develops and maintains internal project construction schedules relative our scope of work utilizing 3 rd party software programs such as MS Project as required. Manages, supports and provides oversight to all 3 rd party commissioning requirements on assigned projects. Manages the project closeout process and turnover of documentation to the Engineering group and/or PM. Manages and coordinates all aspects of our installation subcontractor's scope of work while maintaining project schedule. Manages and completes the project warranty transition process as necessary and coordinates an on-site visit for service personnel and ensures transition to service is achieved. Annual Compensation: $90,000 to $110,000. Exact compensation may vary based on several factors, including skills, experience, and education.

San Francisco, CA (Onsite) About the Company A fast-moving AI research group is building the core video data infrastructure used by leading AI labs and major tech companies. The team is small at around fifteen people, nearly all engineers, and recently pivoted to focus exclusively on high-quality video data at massive scale. The shift has driven significant revenue growth, and they are now planning to expand the team steadily over the next few months. The culture is straightforward: engineering led, product focused, low ego, and built around people who enjoy ownership. They work in person five days a week in their San Francisco office, moving quickly, solving hard problems, and avoiding micromanagement. The Role This position focuses on designing and scaling distributed systems that support huge ML and ETL workloads across petabytes of video. You will own core infrastructure: compute scheduling, orchestration, throughput, reliability, cost efficiency, and the internal tooling that keeps the entire engineering group moving at pace. The company is beginning to scale its infrastructure footprint aggressively, and this role will become central to that growth. It is a hands-on IC position suited to someone who has operated critical systems before and wants to shape the foundation of a rapidly expanding platform. What You'll Work On • Architect and scale distributed systems for large-scale ML and ETL workloads • Build compute orchestration and scheduling across thousands of GPUs • Improve uptime, resilience, and execution speed of high-volume data pipelines • Design pipelines capable of handling petabyte-level video datasets • Lead the development of CI/CD and internal tooling for fast iteration • Partner closely with research engineers delivering new video models and algorithms • Operate in a high-trust environment with strong autonomy and clear ownership Requirements • 3+ years building foundational distributed systems or data infrastructure • Experience running critical systems at significant scale • Proficient across cloud architectures • Strong coding experience with Go (preferred) and Python • Background building or maintaining large-scale pipelines • Experience with ML-focused CI/CD and automation • Video domain experience is not required • Operates as a strong IC who leads through action • Fully onsite in San Francisco, Monday to Friday Culture Fit • Enjoys ambiguity, problem discovery, and self-direction • Communicates clearly and concisely • Shows strong intellectual curiosity • Low ego, collaborative mindset • Motivated by building core systems in a small, high-caliber team Red flags include weak communication, low curiosity, or unclear motivation for the domain. Interview Process Intro call focused on culture, curiosity, and communication Technical discussion on background and complexity of past work Problem-solving session with a research engineer Onsite research problem and collaboration exercise

About the job Pacific International is partnered with a rapidly growing industrial manufacturing organization undergoing significant investment in automation and large-scale capital projects. The company is seeking a hands-on Divisional Projects Engineer to lead major engineering initiatives across multiple sites. This individual will own full project lifecycles from concept and design through installation, commissioning, and start-up. The ideal candidate is a detail-oriented engineer who enjoys being on the shop floor, collaborating with cross-functional teams, and driving operational improvements across a fast-paced manufacturing environment. Responsibilities Be a consistent on-site project presence, supporting installation, commissioning, and troubleshooting while coordinating with site teams, vendors, and engineering partners. Own end-to-end project execution, including scoping, design reviews, scheduling, budgeting, and milestone management. Travel across divisional facilities to oversee projects, conduct site assessments, and manage vendor FATs, verification testing, and equipment sign-offs. Lead process improvement and efficiency initiatives across automated manufacturing lines to enhance productivity and throughput. Develop and refine engineering designs, project plans, and documentation aligned with divisional standards. Evaluate new technologies and machinery to improve capability, reliability, and long-term performance. Partner with maintenance teams as a technical advisor to resolve recurring equipment issues and support preventive and predictive maintenance strategies. Ensure safety, environmental, and regulatory compliance is built into every phase of project execution. Communicate progress clearly across stakeholders to keep projects on track and aligned with business priorities. Qualifications 4-8+ years of experience in manufacturing, engineering, maintenance, or quality roles. Bachelor's degree in engineering required; master's preferred. Proven ownership of capital or large-scale engineering projects from concept through completion. Strong background working with automated or fast-moving manufacturing environments. Comfortable with up to ~50% domestic travel to manage projects across multiple locations. Skilled in project planning, budgeting, vendor management, and cross-functional coordination. Hands-on, solutions-focused problem solver with strong communication and leadership skills. Experience with ISO-driven environments and engineering documentation practices is beneficial. Analytical, organized, and able to juggle multiple priorities while driving effective outcomes. About Pacific International: Pacific International, a globally recognized retained executive search firm, is dedicated to empowering Fortune 500, FTSE 100, and high-growth enterprises in building exceptional C-suite, senior-level, and strategic leadership teams while championing diversity and inclusion. Our adaptability, agility, and forward-thinking ethos distinguish us in the ever-evolving business landscape. Since 1997, we have been dedicated to building lasting client partnerships based on trust and reliability, and a proven track record of successful C-suite and mid- to senior-level leadership project delivery across many key industries globally. Pacific International Diversity Statement: At Pacific International, diversity, equity, and inclusion are at the core of who we are and what we do. Our commitment to these values is unwavering and we proudly champion diversity on behalf of our clients in every Executive Search mandate we undertake. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status, or other characteristics protected by law. In pursuit of these objectives, we actively encourage applications from individuals of all backgrounds and identities. Questions? Email Olivia McCrossin - ******************************************