Sunnyvale, CA

Engineer Jobs in Sunnyvale, CA

17 jobs found

Include remote jobs

15d ago

Data Engineer

UST Austin, TX

Austin, TX

15d ago

$72k - $108k/yr Full time Data Engineer Data Engineering ETL

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Job Description

UST is hiring a Data Engineer to collaborate with cross-functional teams and support program execution, documentation, and readiness activities.

Responsibilities

Work with staff to maximize productivity across the project or program.
Document all phases of project, program, and process development.
Ensure required information is reported, disseminated, or transferred to the appropriate functional areas.
Lead regular program reviews and readiness assessments, including risk management discussions.
Communicate program status, risks, mitigation plans, and executive updates to stakeholders at all organizational levels.
Engage in driving BOM uploads and CP request activities.
Launch CRF (change request form) and update PUSH/DROP as applicable.
Manage and track system ship dates, updating the system push pout tracker accordingly.
Close CRFs when project manager approvals are complete.
Issue delivery notes for completed projects.
Provide paperwork refreshers for systems that have been in FGI and are nearing their ship date.
Establish and coordinate cross-functional teams across Manufacturing Engineering, Supply Chain, Test Engineering, Quality, Product Engineering, Operations, and Program Management.

Requirements

Bachelor’s degree preferred.
0–4 years of experience.
Project management (required).
Administrator/project management (desired).
Microsoft Office skills (required).
Data Analytics (desired).
Excellent written and verbal communication skills (required).

Technologies

PySpark
Streaming
Scala
ETL

Compensation Range

$72,000–$108,000 per year

Role Location

Sunnyvale, CA (onsite)
Location note: The role is located in Austin, Texas.

Benefits

Full-time, regular employees accrue a minimum of 10 days paid vacation per year.
Full-time, regular employees receive 6 days paid sick leave each year (pro-rated for new hires).
10 paid holidays.
Eligible for paid bereavement leave and jury duty.
Eligible to participate in the 401(k) Retirement Plan with employer matching.
Medical, dental, and vision insurance (US dependents eligible if residing in the US).
Company-paid Employee Only benefits: basic life insurance, accidental death and disability, and short- and long-term disability benefits.
Eligible to purchase additional voluntary short-term disability benefits.
Eligible to participate in a Health Savings Account (HSA) and Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses (as allowable under IRS guidelines).

Additional Sick Leave and 401(k) Details

Full-time temporary employees: 6 days paid sick leave (pro-rated for new hires) and eligible to participate in the 401(k) program with employer matching.
Part-time employees: 6 days paid sick leave (pro-rated for new hires) and eligible to participate in the 401(k) Retirement Plan with employer matching.
Part-time temporary employees: 6 days paid sick leave (pro-rated for new hires).
US employees in jurisdictions with more generous sick leave laws will receive benefits per local requirements.

What We Believe

Values: Humility, Humanity, and Integrity.
Culture shaped since day one.

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17d ago

AI engineer

Robotics Technologies Sunnyvale, CA

Sunnyvale, CA

17d ago

Full time Ai Engineer Artificial Intelligence Chatbot Development

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Job Description

Robotics Technologies is seeking an AI Engineer to design and deliver conversational AI solutions on Google Cloud for digital customer engagement.

Responsibilities

Architect, design, and develop scalable chat Virtual Agent frameworks using Google Vertex AI, including Vertex AI Agent Engine and Google Agent Development Kit (ADK)
Build, customize, and optimize conversational flows with Dialogflow CX/ES, covering intent detection, context management, slot filling, and rich fulfillment
Apply state-of-the-art NLP, LLM, and GenAI models on Vertex AI to improve chatbot capabilities (complex intent handling, summarization, entity extraction, and response generation)
Develop and maintain cloud-native chat Virtual Agent systems on GCP using CCAI, Vertex AI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, and BigQuery for real-time processing, analytics, and reporting
Train, fine-tune, and deploy custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to increase agent intelligence
Apply MLOps best practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning with Vertex AI Pipelines, Docker, Kubernetes, and CI/CD
Implement REST APIs, gRPC, and JSON-based interfaces to support integrations across systems

Requirements

6+ years in software development, with 4+ years in NLP/NLU for chat
Advanced Python skills; experience with ML/NLP libraries including Hugging Face, TensorFlow, and PyTorch
Proven experience building conversational agents with Vertex AI and Dialogflow CX/ES
Proficiency in GCP services and cloud-native architectures
Solid MLOps foundation including Docker, Kubernetes, CI/CD, and Git
Agent Assist experience is a plus

Technologies

Google Cloud, Vertex AI, CCAI, Dialogflow, Dialogflow CX/ES
Vertex AI Agent Engine, Google Agent Development Kit (ADK)
NLP, LLM, GenAI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, BigQuery
Retrieval Augmented Generation (RAG), transformer models, Vertex AI Pipelines
Docker, Kubernetes, CI/CD
REST APIs, gRPC, JSON, Python, Hugging Face, TensorFlow, PyTorch
Agent Assist

Job Details

Job ID: J52944
Location: Sunnyvale, CA (onsite)
Duration: 9 Months + Extension
Hourly rate: Depending on Experience (DOE)
Employment type: W-2, 1099, C2C
Client: To Be Discussed Later
Work authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Preferred Qualifications

Master’s/PhD in Computer Science, AI/ML, or related field
GCP certifications (example: Google Cloud Certified Professional ML Engineer)
Experience with GenAI frameworks (example: PaLM, Gemini)
Experience integrating with CRM, knowledge bases, and live agent systems
Knowledge of security and compliance in chat AI

Soft Skills

Excellent communication and collaboration
Strong ownership and end-to-end project delivery
Leadership in cross-functional environments
Team leading and management

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22d ago

Information Security Engineer, Product Security Engineering

Google Sunnyvale, CA

Sunnyvale, CA

22d ago

$147k - $210k/yr Full time Information Security InfoSec Security

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Job Description

Google is seeking an Information Security Engineer for Product Security Engineering to help build and maintain a safer operating environment for users and developers. In this role, you will partner with software engineers to protect network boundaries, harden systems and devices, and move security improvements from discovery through mitigation across Google Cloud.

Role focus

Strengthen security through reviews, vulnerability research, and secure protocol or system design.
Contribute hands-on testing, fuzzing, and analysis to identify and address security flaws.
Support defense in depth and security by default through both short and longer term engagements.

Responsibilities

Conduct security reviews, research and reproduce vulnerabilities, design secure protocols and systems, and write tests and fuzzers.
Review and develop secure operational practices while providing security guidance for engineers and support staff.
Review designs and drive defense in depth and security by default through one-time reviews and longer-term engagements.
Find vulnerabilities using techniques such as reverse engineering, fuzzing, and static analysis.
Respond to vulnerabilities with reproduction, variant analysis, mitigations, and hardening, with an emphasis on security strategy for Google Cloud.

Requirements

Bachelor’s degree or equivalent practical experience.
2+ years of experience with security assessments, security design reviews, or threat modeling.
2+ years of experience in security engineering, computer and network security, and security protocols.
2+ years of coding experience in one or more general purpose languages.
Experience identifying and mitigating network security risks using threat modeling and other risk identification techniques.
Experience in application security, cryptography, network security, or systems security.
Experience with C++ dynamic analysis and static code analysis.
Expertise in security assessments, vulnerability management, and security research.

Location

Sunnyvale, CA (onsite)
Application note: you will have an opportunity to share your preferred working location among New York, NY; Kirkland, WA; or Sunnyvale, CA.

Compensation

USD 147,000 - 210,000 per year.

Benefits

Health, dental, vision, life, and disability insurance
401(k) with company match
20 days of vacation per year, accruing at 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle), including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
13 paid days per year (Holidays)

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23d ago

AI Engineer - Algorithm Evaluation & Agentic Systems

Apple Sunnyvale, CA

Sunnyvale, CA

23d ago

$150k - $278k/yr Full time Agentic Ai Agentic Ai Orchestration Ai Agent

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Job Description

On Apple’s DAQ team, you will focus on evaluating and improving advanced visual technologies. In this role, you will work at the intersection of algorithm evaluation and agentic systems, helping translate model behavior into measurable performance and production-ready workflows for advanced computer vision and video understanding.

Working within DAQ, your contribution centers on building evaluation pipelines, diagnosing failures, and architecting autonomous multi-modal solutions that connect experimentation with real-world deployment. You will lead benchmarking and integration of state-of-the-art image and video understanding models, while partnering with core model training teams to deliver data-driven insights for iteration and fine-tuning.

Responsibilities

Design, build, and scale comprehensive evaluation pipelines for both end-to-end system evaluation and granular component-level testing on complex image and video understanding tasks.
Analyze model outputs to identify root causes of visual hallucinations, temporal inconsistencies in video, and edge-case failures.
Build, deploy, and evaluate agentic workflows that use vision models to autonomously solve multi-step user problems such as video summarization and visual search.
Use component-level evaluation to isolate which parts of an agentic workflow, including tool selection, memory retrieval, and visual reasoning, succeed or fail.
Lead strategy for curating high-quality schematized datasets and ground-truth benchmarks tailored for evaluating multi-modal capabilities.
Partner with core model training teams to provide actionable metrics and insights that guide subsequent model training and fine-tuning.
Lead benchmarking and integration of state-of-the-art models for image and video understanding.

Requirements

MS and a minimum of 3 years relevant industry experience.
3+ years of applied experience in Machine Learning, Computer Vision, or AI System Evaluation.
Deep understanding of core machine learning principles, including probability, statistics, data distributions, and model bias/variance.
Deep theoretical and practical understanding of computer vision and vision-language models, including how Vision Transformers (ViTs), spatial-temporal modeling, and image/video processing work.
Proven ability to define robust metrics and KPIs and design rigorous evaluation frameworks for generative AI or foundation models, including custom benchmark creation, automated regression testing, LLM/VLM-as-a-judge methodologies, and human-in-the-loop evaluation.
Experience building and evaluating LLM/VLM-powered agents, including tool use, multi-step reasoning, planning, and memory management workflows.
Strong ability to probe ML models for edge cases, hallucinations, and performance bottlenecks in constrained environments, and translate findings into improvement recommendations.
Strong proficiency in Python and experience with PyTorch, including running inference, extracting embeddings, and building scalable evaluation pipelines.

Technologies

Python
PyTorch
Vision Transformers (ViTs)
Computer Vision (CV)
Vision-Language Models (VLMs)
LLM/VLM-as-a-judge methodologies
LLM/VLM-powered agents

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition for formal education related to advancing your career
Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
Discretionary restricted stock unit awards
Ability to purchase Apple stock at a discount through participation in the Employee Stock Purchase Plan
Potential discretionary bonuses or commission payments
Relocation (may be eligible)

What We Value

Production mindset: correctness, observability, and maintainability
Ability to reason about system-level tradeoffs, not only model performance
Ability to balance experimentation speed with engineering rigor
Comfort working in ambiguous spaces and defining metrics from first principles
Clear communication of technical findings to both technical and non-technical audiences

Preferred Qualifications

Demonstrated ability to lead technical evaluation strategies end-to-end, drive architectural decisions for testing infrastructure, and mentor engineers.
Strong foundation in statistics, including hypothesis testing, confidence intervals, and experimental design.
Knowledge of reinforcement learning, planning, or decision-making systems.
Experience evaluating multi-modal or multi-agent systems.
Prior work on AI reliability, safety, or benchmarking.

Pay & Benefits

Base pay range: $150,400 to $277,600 per year
Employees may have opportunities to become shareholders through discretionary employee stock programs
Eligible for discretionary restricted stock unit awards
Ability to purchase Apple stock at a discount if participating in the Employee Stock Purchase Plan
Role might be eligible for discretionary bonuses or commission payments and relocation
Learn more about Apple Benefits
Note: Benefit, compensation, and employee stock program eligibility are subject to requirements and terms of the applicable plan or program.

Location: Sunnyvale, CA (onsite)

Minimum experience: 3 years

Education: MS

Compensation: USD 150,400 - 277,600 per yearly

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30d ago

Data Scientist / Computer Vision Engineer

Glint Tech Solutions LLC Sunnyvale, CA

Sunnyvale, CA

30d ago Closed

Full time Artificial Intelligence Cloud Cloud Infrastructure

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

Glint Tech Solutions LLC builds large-scale, production-focused computer vision for enterprise applications, and this role sits on an AI team delivering real-world systems. The position emphasizes NVIDIA DeepStream, GPU performance optimization, and distributed computing, with the goal of shipping production-grade vision pipelines and microservices across GPU-accelerated environments.

What you’ll work on

You will design, develop, and optimize computer vision solutions intended for real-world production environments. Work centers on building scalable AI inference pipelines using NVIDIA DeepStream, with a strong focus on high-throughput, low-latency performance. You will also help deploy distributed computer vision applications across large-scale infrastructure, and create microservices that support AI and computer vision platforms.

Design, develop, and optimize computer vision solutions for production use
Build scalable AI inference pipelines using NVIDIA DeepStream
Optimize GPU performance for high-throughput, low-latency workloads
Develop and deploy distributed computer vision applications across large-scale infrastructure
Design and implement microservices supporting AI and computer vision platforms
Collaborate with AI researchers, software engineers, and infrastructure teams to deliver production-ready solutions
Improve system performance, scalability, and reliability across GPU-accelerated environments
Troubleshoot performance bottlenecks and optimize inference pipelines

Required skills

NVIDIA DeepStream
GPU Optimization
Computer Vision
Microservices Architecture
Distributed Computing

Requirements

Strong experience with Computer Vision technologies and production deployments
Hands-on experience with NVIDIA DeepStream (Required)
Strong understanding of GPU optimization and performance tuning
Experience building microservices architecture
Experience with distributed computing systems
Strong programming skills in Python and/or C++
Experience deploying scalable AI applications in production
Excellent problem-solving and performance optimization skills

Technologies you may work with

NVIDIA DeepStream, NVIDIA CUDA, TensorRT, NVIDIA SDKs
Python, C++, OpenCV, GStreamer
Microservices architecture, GPU optimization
Kubernetes, Docker, cloud platforms (AWS, Azure, GCP)
Machine learning models, deep learning models

Preferred qualifications

Experience with NVIDIA CUDA or TensorRT
Experience with OpenCV, GStreamer, or NVIDIA SDKs
Familiarity with Kubernetes and Docker
Experience with cloud platforms (AWS, Azure, or GCP)
Experience deploying machine learning or deep learning models in production
Knowledge of real-time streaming and edge AI solutions

Location: Sunnyvale, CA (onsite)

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1mo ago

Robotics Software Engineer

Noble Machines Sunnyvale, CA

Sunnyvale, CA

1mo ago Closed

$140k - $200k/yr Full time Python Automation Cloud Infrastructure

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

Noble Machines is seeking a Robotics Software Engineer to own the simulation environments and supporting infrastructure used to develop, validate, test, and transition robotic systems from simulation to real-world deployment. The role focuses on producing high-fidelity virtual environments that enable early verification of autonomy, control, and perception systems.

Role Scope

This position centers on building and iterating simulation workflows and infrastructure that support integration and validation. Work includes development of high-fidelity simulation environments, digital twins, and synthetic data pipelines to accelerate autonomy and controls development prior to hardware rollout.

Key Responsibilities

Develop and maintain simulation workflows using Isaac Sim, Omniverse, Gazebo, or Mujoco to support integration and validation.
Build and iterate on high-fidelity simulation environments, digital twins, and synthetic data pipelines for autonomy and controls development.
Partner with hardware, autonomy, and test teams to deliver systems that are ready for field deployment.

Required Qualifications

4+ years of experience in robotics or distributed software development.
Strong proficiency in C++ (C++17+) and Python.
Experience using simulation software such as Isaac Sim and/or Omniverse.
Strong understanding of ROS 2, lifecycle nodes, and DDS communication.
Experience building modular, distributed runtime or middleware systems.
Familiarity with containerized development using Docker, colcon, and CI/CD pipelines.
Demonstrated experience building APIs, SDKs, or developer-facing tools.
Strong communication and collaboration skills across engineering teams.

Technologies

Isaac Sim, Omniverse, Gazebo, Mujoco
C++, Python
ROS 2, Docker, colcon
CI/CD, DDS
APIs, SDKs, GitHub Actions, Jenkins, Kubernetes

Nice to Have

Experience with robotics simulation environments such as Isaac Sim, Mujoco, or Gazebo.
Knowledge of behavior trees, system diagnostics, or safety frameworks.
Familiarity with orchestration tools including GitHub Actions, Jenkins, and Kubernetes.
Open-source contributions in ROS 2, robotics middleware, or developer tooling.

Benefits

Equity options
Comprehensive healthcare benefits
Retirement plan contributions
Performance-based incentives

Compensation and Location

Location: Sunnyvale, CA (onsite)

Salary: USD 140,000 to 200,000 per year

California Pay Transparency Statement

Pay Transparency & Compensation In accordance with California's Pay Transparency Act (SB 1162), the expected base salary range for this position located in Sunnyvale, CA is $140,000–$200,000 per year.
Actual compensation within this range will be determined based on several factors, including the candidate's qualifications, relevant experience, technical skills, and specialized expertise.
Base salary is just one component of Noble Machines' total rewards package, which may also include equity options, comprehensive healthcare benefits, retirement plan contributions, and performance-based incentives.

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1mo ago

Machine Learning Engineer

Apple Sunnyvale, CA

Sunnyvale, CA

1mo ago Closed

$150k - $278k/yr Full time Ai Ml Artificial Intelligence Data Pipeline

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

Apple is seeking a Machine Learning Engineer in Sunnyvale, California, to develop ML models for computer vision and graphics within Face and Body/vision technologies. You will drive the end-to-end ML lifecycle to ship features on iOS and VisionOS, collaborating with ML, data, and software engineers across teams.

Location

Sunnyvale, CA (onsite)

Responsibilities

Design data collection strategies and process data as part of the ML cycle.
Design models and run experiments within the ML lifecycle.
Validate and perform QA in real-world deployments.
Conduct applied research to adapt or implement state-of-the-art methods to ship features on iOS and VisionOS.
Collaborate with other ML engineers, data engineers, and software engineers across teams.

Requirements

3+ years of experience developing ML projects for computer vision or graphics applications.
Proficiency in Python and software engineering fundamentals.
Experience with PyTorch.
BA/BS degree in computer vision, computer graphics, machine learning, or a related field.

Technologies

Python
PyTorch

Benefits

Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for educational expenses, including tuition
Apple discretionary employee stock programs
Eligible for discretionary restricted stock unit awards
Ability to purchase Apple stock at a discount via the Employee Stock Purchase Plan
Discretionary bonuses or commission payments
Relocation assistance

Compensation

Base pay range for this role is $150,400 to $277,600 per year. The final offer depends on skills, qualifications, experience, and location.

Preferred Qualifications

MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering, or related fields.
Self-motivated with a proven ability to prioritize and deliver tasks on schedule.
Excellent communication and experience working with cross-functional teams.