Engineering Jobs in Los Gatos, CA

Code Red is Partnered with a fast-growing startup. They are a software company in the healthtech space. Series D round of funding, located in San Francisco, New York City, + Seattle.

What you'll do:

• Product Security Engineering and Software Security Engineering work, Bug Bounty, Vulnerability Management, and core ProdSec/AppSec management work.
• Will be taking over a small security team and growing it.
• Work with Product and Engineering teams to push out products.
• Collaborate with engineering, mitigate security risks, and support shipping quickly.
• Support threat modeling, shifting left, building tooling, and automating processes.
• Review code designs and pull requests, SSDLC, not a generalist/SecOps role.

Does this sound like you?

• 8+ years' exp. working on Application or Product Security Engineering teams.
• True Leadership experience, a small team is fine, but needs to have true management experience, able to influence and build a team + Engineering.
• Proven track record of starting and scaling a successful Product Security program.
• Excited about integrating security into product delivery without slowing things down.
• Passion for security and technology, bonus points for SWE background.

[leveling Engineering Manager or Sr. Engineering Manager, up to $350K base salary + equity]

*Direct-Hire/Permanent - must be located in San Francisco, New York City, or Seattle*

Cannot wait to hear more about this position?

Click apply below or reach out to Erin Barry () today, and they will share more information and details about the role.

Code Red Partners are extremely committed to working with equal opportunity employers helping build a diverse and inclusive workforce within Cyber Security. We put the people we work with at the heart of everything we do and dedicate all we do to playing a part in developing an industry that represents a variety of backgrounds, perspectives, and skills.

Responsibilities:

• Establishing and expanding advanced research initiatives focused on next-generation computational modeling and large-scale simulation frameworks.
• Initiating and driving new directions in numerical methods, partial differential equations, and the theoretical underpinnings of data-driven scientific computing.
• Guiding and developing a small, high-caliber research team while defining technical priorities and quality standards.
• Partnering closely with engineering to convert mathematical concepts into efficient, scalable computational solutions.
• Elevating research excellence through influential publications and thought leadership in top-tier venues.

Desired Qualifications:

• PhD in Applied Mathematics, Physics, Computer Science, or a related discipline (or equivalent research accomplishments).
• Strong background in numerical analysis, scientific computing, computational physics, or the mathematical theory of machine learning.
• Proven experience leading or mentoring researchers in rigorous, first-principles investigation.
• Established record of impactful publications or equivalent scholarly contributions.
• Preferred: Experience translating academic advances into practical, real-world or industry applications.

Company Overview

Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential.

Our seasoned professionals deliver services based on Milestone's best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed.

Job Overview

Company Overview:Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential.

Our seasoned professionals deliver services based on Milestone's best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed.

Description:

The Access Management Specialist role is responsible for processing security and access permissions for various individuals requiring building access. They also serve as a customer service representative, assisting with access control requests and troubleshooting badge-related issues. Other responsibilities include managing inventory, generating reports, and assisting with alarm remediation.

Key Responsibilities:

• Lead day-to-day global badge operations management
• Hands-on operational involvement including processing Jira tickets, supporting new employee onboarding, and driving continuous program improvements
• Implement secure access zones and aide in the development of physical access infrastructure that supports identity management and RBAC/ABAC policies

Required Qualifications:

• Minimum of 1-3 years of experience in Security, Badging, Access Control fields.
• Proven experience with security access control systems (e.g., CCure, Kastle, Brivo, and property management access platforms)
• Strong background in access management within security operations
• Experience with Genetec is highly preferred

Work Schedule:

• Primary schedule: Monday through Friday 3pm-11pm
• Flexibility to provide support on weekends as business needs arise

Compensation

Estimated Pay Range: $30.35 - $42/hr

Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location.

Our Commitment to Diversity & Inclusion

At Milestone we strive to create a workplace that reflects the communities we serve and work with, where we all feel empowered to bring our full, authentic selves to work. We know creating a diverse and inclusive culture that champions equity and belonging is not only the right thing to do for our employees but is also critical to our continued success.

Milestone Technologies provides equal employment opportunity for all applicants and employees. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, gender identity, marital status, age, disability, veteran status, sexual orientation, national origin, or any other category protected by applicable federal and state law, or local ordinance. Milestone also makes reasonable accommodations for disabled applicants and employees.

We welcome the unique background, culture, experiences, knowledge, innovation, self-expression and perspectives you can bring to our global community. Our recruitment team is looking forward to meeting you.

Job Role: AWC Developer

Job Type: Full Time

Location: Sunnyvale, Austin

Job Summary

We are seeking an experienced AWC Developer with strong hands-on expertise in Siemens Teamcenter Active Workspace Client (AWC) customization. The ideal candidate will design, develop, and support modern PLM user interfaces using AWC Declarative UI, integrate backend services, and enhance user workflows across the enterprise.

Key Responsibilities

• Design and develop custom user interfaces using Active Workspace Client (AWC) Declarative UI (JSON)
• Create and customize panels, commands, toolbars, context menus, and command bars
• Implement custom event handling and client-side logic in AWC
• Work with AWC tables, trees, object sets, and viewers
• Develop integrations using Teamcenter SOA / REST APIs
• Customize and extend Teamcenter business logic based on functional requirements
• Perform BMIDE data model extensions (properties, relations, types, LOVs, rules)
• Support Teamcenter workflows, access controls, preferences, and ACL configurations
• Debug and troubleshoot UI, server, and integration issues
• Collaborate with functional consultants, system admins, and business users
• Participate in design reviews, testing, and production support

Required Skills & Experience

Must-Have:

• 5–8 years of experience with Siemens Teamcenter PLM
• Strong hands-on experience in Active Workspace Client (AWC) customization
• Expertise in AWC Declarative UI (JSON)
• Experience building custom commands, panels, and UI extensions
• Strong knowledge of JavaScript, HTML, CSS
• Hands-on experience with Teamcenter SOA / REST APIs
• Solid understanding of Teamcenter data model & core objects
• Experience with BMIDE for data model changes
• Knowledge of Teamcenter workflows, access control, and preferences
• Strong troubleshooting and debugging skills

Good to Have

• Experience with Teamcenter ITK customization
• Knowledge of Dispatcher, TC Vis, or Rich Client customization
• Exposure to Agile / Scrum methodology
• Experience in manufacturing or engineering PLM environments

Education

• Bachelor's degree in Computer Science, Engineering, or equivalent experience

Position Overview

The Water/Wastewater Estimator will be responsible for preparing accurate and competitive cost estimates for heavy civil infrastructure projects. This role requires strong analytical skills, in-depth knowledge of water and wastewater construction, and the ability to collaborate effectively with project managers, engineers, subcontractors, and suppliers.

Key Responsibilities

• Analyze plans, specifications, geotechnical reports, and contract documents for water and wastewater infrastructure projects
• Prepare detailed quantity takeoffs and cost estimates for treatment plants, pipelines, pump stations, and related facilities
• Solicit and evaluate subcontractor and supplier quotes
• Develop conceptual and hard-bid estimates
• Identify project risks and value engineering opportunities
• Participate in pre-bid meetings and site visits
• Maintain organized bid documentation and estimating databases
• Support project handoff to operations team upon award

Qualifications

• 5+ years of estimating experience in water/wastewater or heavy civil construction
• Strong knowledge of treatment plant construction, underground utilities, mechanical piping, and concrete structures
• Proficiency with estimating software (e.g., HCSS HeavyBid, Bluebeam, PlanSwift, or similar)
• Ability to read and interpret civil, structural, and mechanical drawings
• Strong Excel skills
• Excellent communication and organizational abilities
• Bachelor's degree in Construction Management, Civil Engineering, or related field preferred (or equivalent experience)

What We Offer

• Competitive salary based on experience
• Performance-based bonus opportunities
• Comprehensive health, dental, and vision insurance
• 401(k) with company match
• Paid time off and holidays
• Career growth opportunities within a rapidly expanding infrastructure market

Are you passionate about Generative AI and want to apply it to one of the most impactful domains — cybersecurity?

Join our cutting-edge startup in the San Francisco Bay Area, where we are developing AI systems that transform how organizations understand, detect, and respond to cyber threats.

As an Applied AI Scientist, you'll bridge AI research and real-world cybersecurity use cases — designing, implementing, and optimizing models that extract, reason, and act on complex security data.

You'll work closely with cybersecurity experts, AI infrastructure engineers, and stakeholders to build end-to-end GenAI solutions: from concept to deployment.

This role blends deep applied research with practical engineering, ideal for someone eager to push the limits of Generative AI for meaningful impact.

Why Join Us:

• $25M Seed Funding: Strong capital foundation to innovate and scale fast.
• Early Success: Trusted by Fortune 500 companies, validating real-world demand.
• Experienced Leadership: Founders with 25+ years in cybersecurity — previous ventures valued at $3B+.
• Elite AI Leadership: Heads of AI, Engineering, and Product from world-class tech companies.
• Advanced AI Stack: LLMs, embeddings, RAG systems, LangGraph orchestration, and multimodal AI.
• Competitive Compensation: Excellent salary, meaningful equity, and room for technical leadership growth.
• Cybersecurity Knowledge Preferred but Not Required: We'll teach you the domain — you bring the AI innovation.

Key Responsibilities:

Core Applied AI Research

• Collaborate with cybersecurity researchers and stakeholders to scope AI-driven solutions to security problems (e.g., vulnerability management, code analysis, threat detection).
• Conduct applied research using the latest LLMs and embedding models (Claude, Google GenAI, Unsloth, vLLM).
• Prototype, fine-tune, and evaluate GenAI and RAG/CAG architectures for classification, summarization, reasoning, and context synthesis.
• Perform embedding-level optimization for text, code, and image data using Unsloth, Hugging Face, Voyage, or similar frameworks.

System Development & Integration

• Develop and test end-to-end AI pipelines integrating Milvus or Pinecone for semantic retrieval.
• Build agentic AI systems using LangGraph or similar frameworks to enable autonomous reasoning and task chaining.
• Collaborate with MLOps engineers to deploy and monitor AI models in production securely and efficiently.
• Contribute to synthetic data generation pipelines for fine-tuning and evaluation.

Evaluation & Optimization

• Implement evaluation frameworks using DeepEval and GenAI tools (Claude / Google GenAI) for factuality, reliability, and robustness.
• Optimize model performance across latency, accuracy, and cost using vLLM, quantization, or caching strategies.
• Maintain reproducible experiment tracking with MLflow, Weights & Biases, or internal tools.

Innovation & Leadership

• Stay ahead of GenAI trends — multi-modal reasoning, agentic orchestration, embedding adaptation.
• Explore hybrid LLM deployment strategies (local Unsloth/vLLM + cloud APIs like Claude, Google GenAI).
• Document best practices, share learnings, and mentor junior scientists on applied GenAI workflows.

Qualifications:

Required

• 4+ years in Applied AI / Machine Learning Research / Data Science.
• Strong understanding of LLMs, embeddings, RAG systems, and multimodal learning.
• Proficiency in Python and frameworks like PyTorch, Transformers, Hugging Face, or LangChain.
• Experience in prompt engineering, model evaluation, and retrieval-based reasoning.
• Hands-on experience with vector databases (Milvus / Pinecone) and orchestration frameworks (LangGraph / LangChain).
• Strong communication skills and ability to collaborate across research and engineering functions.

Preferred

• Experience with fine-tuning LLMs or embeddings using Unsloth or similar frameworks.
• Familiarity with Claude / Google GenAI APIs for cloud-based inference and evaluation.
• Exposure to cybersecurity or enterprise data (CVEs, pluginText, network or asset logs).
• Prior work on synthetic data generation and evaluation frameworks (DeepEval).
• Experience in a fast-paced startup or applied research environment.

Our Culture & Team

• Collaborative and Mission-Driven: Every project directly advances global cybersecurity.

• World-Class Mentorship: Work with senior experts from top AI and security companies.

• Growth-Oriented: Opportunities to lead GenAI initiatives and own major research tracks.

• Inclusive and Innovative: We value diverse perspectives and open experimentation.

Perks & Benefits

• Comprehensive medical, dental, and vision coverage.
• Wellness and professional development stipends.
• Equity options — your impact equals ownership.
• Access to state-of-the-art GPUs, APIs, and GenAI frameworks.

Staff Data Scientist – Post Sales

Location: San Francisco (Hybrid)

Salary: $200–250k base + RSUs

This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're expanding our data science organization to accelerate customer success after the initial sale—driving onboarding, retention, expansion, and long-term revenue growth.

About the Role

As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention.

Key Responsibilities

• Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring.
• Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value.
• Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion.
• Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn.
• Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals.
• Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.
• Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions.

About You

• Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment.
• Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning.
• Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring.
• Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy.
• Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders.
• Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.

Role: ASIC Power Engineer (AR/VR – Meta)

Location: Sunnyvale CA

Duration: 6 Months Contract

Experience Required: 10+ Years

Overview

We are seeking an experienced ASIC Power Engineer to perform power analysis and optimization for ASIC designs used in next-generation AR/VR products. The ideal candidate will have deep expertise in power optimization, low-power methodologies, and ASIC implementation flows, along with strong scripting and data analysis skills.

This role requires hands-on experience analyzing and reducing power consumption at RTL and netlist levels while working with industry-standard tools from Synopsys and Cadence.

Key Responsibilities

• Perform Power, Performance, Area (PPA) optimization using Synopsys Fusion Compiler
• Conduct RTL and netlist-level power analysis
• Analyze ASIC flows including:
• Synthesis
• Physical Design
• Timing
• Power analysis
• Perform post-processing and scripting on report logs for:
• Data extraction
• Format conversion
• Power analysis insights
• Develop scripts using Python, Tcl, or Perl for automation and analysis
• Implement selected RTL blocks and UPF power intent
• Debug and analyze reports across ASIC flows
• Identify and implement power reduction techniques
• Document results and communicate findings effectively

Minimum Qualifications

• 10+ years of experience in ASIC Power Engineering, CAD Engineering, or Physical Design
• Strong expertise in power estimation tools and synthesis flows
• Hands-on experience with power analysis and optimization methodologies
• Knowledge of power trade-offs in design and backend implementation
• Strong scripting and data analysis skills
• Bachelor's degree in Electrical Engineering, Computer Science, or equivalent experience

Preferred Qualifications

• Experience with Synopsys tools
• Design Compiler (DC)
• IC Compiler (ICC)
• PrimeTime PX / PrimePower
• VCS
• Verdi
• Experience with Cadence Joules
• Proficiency in Python, Perl, Tcl scripting
• Experience with Excel or MATLAB for modeling and data visualization
• Experience in low-power design methodologies
• Hands-on experience with UPF power intent specifications
• Experience with Silicon Power Characterization
• Experience with power profiling at IP or SoC level

Must-Have Skills

• ASIC Power Optimization
• Synopsys Power Tools:
• PrimePower
• PTPX
• DC
• ICC
• Cadence Joules
• Low Power Design methodologies
• UPF Power Intent
• Python / Perl scripting
• Silicon Power Characterization

Nice-to-Have Skills

• Power profiling at IP or SoC level
• Data analytics and visualization
• Experience with Machine Learning related ASIC workloads

We are seeking an experienced Cloud Platform Engineer with deep expertise in Red Hat OpenShift and strong Linux systems engineering background. This role will be responsible for designing, building, and operating large-scale OpenShift platforms within on-premises datacenter environments.

The ideal candidate will work closely with SRE teams and Program Management to drive the successful implementation, scaling, and operationalization of enterprise-grade OpenShift infrastructure.

Key Responsibilities

1. Platform Engineering

• Design, deploy, and manage enterprise-scale Red Hat OpenShift clusters in on-prem datacenter environments.
• Architect highly available, scalable, and secure OpenShift platforms.
• Implement cluster lifecycle management (installation, upgrades, patching, scaling).
• Configure networking, storage, ingress, and security components for OpenShift.

2. Infrastructure Build & Automation

• Build and automate infrastructure in datacenter environments (compute, storage, networking).
• Integrate OpenShift with virtualization platforms (VMware/other hypervisors as applicable).
• Develop Infrastructure-as-Code (IaC) solutions using tools such as Terraform, Ansible, or similar.
• Implement CI/CD pipelines for platform deployments and updates.

3. Linux Systems Engineering

• Provide deep Linux system administration and troubleshooting support.
• Optimize OS-level configurations for performance, reliability, and security.
• Automate system configuration and compliance management.
• Diagnose and resolve complex kernel, networking, and storage issues.

4. Reliability & Operations

• Partner closely with the SRE team to establish SLOs, SLIs, monitoring, and alerting.
• Drive observability implementation (logging, metrics, tracing).
• Participate in incident management, root cause analysis (RCA), and remediation.
• Ensure platform resiliency, performance tuning, and capacity planning.

5. Program & Cross-Functional Collaboration

• Work with Program Management to drive large-scale OpenShift implementation milestones.
• Provide technical input into roadmap planning, timelines, and risk mitigation.
• Collaborate with security, networking, storage, and application teams.
• Document architecture, standards, and operational procedures.

6. Security & Compliance

• Implement RBAC, security policies, and compliance controls within OpenShift.
• Harden clusters according to enterprise security standards.
• Support vulnerability management and patch governance processes.

Required Qualifications

• 5+ years of experience in Linux systems engineering (RHEL preferred).
• 3+ years of hands-on experience with Red Hat OpenShift (OCP 4.x preferred).
• Proven experience building infrastructure in on-prem datacenter environments.
• Strong understanding of:
• Kubernetes architecture
• Networking (DNS, load balancing, firewalls, SDN)
• Storage (SAN, NAS, CSI drivers)
• Virtualization platforms (VMware, etc.)
• Experience with automation tools (Terraform, Ansible, GitOps).
• Strong troubleshooting and problem-solving skills.

Preferred Qualifications

• Red Hat certifications (RHCE, OpenShift Certification).
• Experience implementing OpenShift at enterprise scale (multi-cluster environments).
• Experience working in SRE-driven environments.
• Knowledge of DevOps/GitOps practices.
• Experience with monitoring tools (Prometheus, Grafana, ELK, etc.).

AI Data & Python Tools Engineer

We're seeking an AI Data and Python Tools Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. This role combines strong software engineering fundamentals with the ability to build production-ready AI applications at speed, including integration with Model Context Protocol (MCP) systems.

Responsibilities:

• Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks
• Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods
• Collaborate with cross-functional teams to solve complex problems and integrate scalable, cloud-based AI solutions
• Rapidly prototype, test, and iterate on AI tools with a strong focus on performance, flexibility, and scalability
• Maintain clear technical documentation, perform code reviews, and support the full software development lifecycle

Software Engineering & AI/ML Data, Tools Development

• 3+ years of Python Development with a background in back end services and data processing
• Exposure to AI/ML algorithms
• Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Understanding of LLMs, vector databases, and retrieval systems
• Experience with Model Context Protocol (MCP) integration and server development

Big Data & Cloud Infrastructure

• Knowledge of building and deploying cloud based applications
• Hands-on experience with cloud data platforms (AWS/GCP/Azure)
• Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms)
• Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes
• Knowledge of containerization (Docker/Kubernetes) and infrastructure as code

*Preferred Experience

• Experience building web applications with modern frameworks (React, Vue, or Angular)
• API development and integration experience
• Basic UX/UI design sensibilities for internal tooling
• Experience with real-time data processing and analytics
• Background in building developer tools or internal platforms
• Familiarity with AI/ML operations (MLOps) practices (Experience using airflow)
• Experience building MCP servers and integrating with AI assistants
• Knowledge of structured data exchange protocols and API design for AI systems.

Type: Full Time

Location: Austin, TX or Cupertino, CA (Monday- Friday onsite)

*Relocation assistance can be offered based on individual needs and circumstances*