Electrical Construction Project Engineer
Engineer job in San Jose, CA
About the Role:
The Project Engineer will work with an existing project team, involved in current construction projects. The Project Engineer will assist a Project Manager and continue their development under the direction of CSI. Successful candidates must display company core values as found in the CSI Orientation Packet.
Company Overview
Founded in 1990, CSI has emerged as a leader in highly technical and innovative electrical design and construction. We are a full-service firm with the resources and expertise to handle any commercial, industrial, or one-of-a-kind challenge. We are a trusted contractor to diverse industries, such as aerospace, biotech/pharmaceutical, education, healthcare, entertainment, hospitality, manufacturing, and retail, to name a few. Our services also include energy solutions and have earned a reputation as a premier provider of energy development, installation, and maintenance. In July 2019, CSI proudly joined the MYR Group family expanding our commercial and industrial reach. We're proud to celebrate 31 years of commitment to do all things with excellence for our customers, ourselves, and our craft. We Build Better.
Essential Functions
Understand and follow CSI policies and procedures and assist with the following:
Managing document control and drawings
Obtaining necessary permits
Electrical take-offs and project estimating
Preparing submittals and shop drawings, and reviewing quoted items and commodities
Managing RFI logs and reviewing RFIs for cost impact
Managing POs, vendor tracking, and releases
Preparing project budgets for internal tracking and maintaining constant understanding of costs and
budget thresholds
Estimating small jobs and change orders, completing and maintaining change order estimates and
logs, and tracking and pricing EWOs
Working with the lighting department on an as-needed basis to manage light fixtures, controls, and
switchgear tracking logs
Working with the pre-fab department on an as-needed basis
Providing field foremen with information, material tracking, and other administrative functions
Summarizing and tracking time and material paperwork
Taking ownership and accountability for assigned tasks
Managing and tracking subcontractors
Preparing reports and schedule review for Project Reviews
Performing job closeouts and O&Ms
About You:
Qualifications
Estimating experience: Accubid preferred
High School Diploma or the equivalent
AA/BS in Construction Management, Business, or Engineering (or soon to graduate) (*)
Minimum of one year in the electrical construction trade, with a strong knowledge of construction
sequencing, construction methods, and materials practices; including knowledge of electrical systems (*)
LEED AP and OSHA 30 certification desired, but not mandatory
(*) Can be a combination of trade, education, and relevant work experience
Knowledge/Skills/Abilities
Proficiency in MS Office Suite, and BlueBeam
Proactive attitude, showing initiative and the ability to work independently
Ability to read and understand Architectural Structural Mechanical Electrical and Plumbing drawings
Knowledge of, and compliance with, all electrical codes, Local Union Labor Agreements, and State
Compliance Laws/Regulations
Excellent reasoning ability
Strong organizational and communication skills, both written and verbal
Ability to work under pressure and adapt to changing job requirements
Dependability and punctuality for all CSI activities
Ability to work in a team environment and display leadership skills
Positive attitude and customer focus
Physical Demands
Frequently works outdoors on uneven surfaces.
May be required to sit or stand for long periods of time.
May be required to stoop, bend, and crouch.
Work Environment
Works in a climate controlled environment 50% of the time.
May work in varying weather conditions: hot, cold, and wet conditions.
Frequently works in areas with large industrial equipment subject to high noise levels.
May occasionally work in areas with hazardous chemicals.
What We Offer:
Compensation & Benefits
Hourly Rate $24.04-$36.06/ hour (Non-Exempt)
Commensurate with experience, paid weekly. Posted salary ranges are made in good faith. CSI reserves the right to adjust ranges depending on the selected candidate's qualifications.
Amazing Company Culture - We have a culture of trust, teamwork, performance, and commitment that drives our success.
Competitive Salaries - We pride ourselves on offering above-average industry salaries based on talent and experience.
Annual Paid Time Off starting at 15 days plus 9 paid Holidays.
Generous 401(k) Plan with 100% match up to 6%. Immediate vesting and Annual profit-sharing potential.
Company-paid life, and accidental death & dismemberment.
Employee Assistance Plan (EAP).
Various voluntary plans are available, including short- and long-term disability, supplemental vision, accident, hospital and critical illness, and additional voluntary life insurance plans for employees and dependents.
Company medical and dental insurance for you and your family. CSI pays 100% for Employee and 75% of dependent coverage premium for the selected plan(s)
Position may be subject to pre-employment screening, which may include background check and drug testing. Accessibility: If you need an accommodation as part of the employment process, contact our Employment Hotline at **************.
MYR Group, Inc. and our subsidiaries are proud to be Equal Opportunity Employers. We promote diversity of thought, culture, and background, which connects our family of brands. We are committed to a work environment that supports, inspires, and respects all individuals and in which personnel processes are merit-based and applied without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military service status, or other protected characteristics. We celebrate diversity and are committed to creating an inclusive environment for all employees.
MYR Group does not sponsor applicants for work visas. Applicants must be currently authorized to work in the United States for any employer.
MYR Group, Inc. and our subsidiaries do not work with any third-party recruiters or agencies without a valid signed agreement and partnership with the Corporate Talent Acquisition Team.
Appcast: #applow LinkedIn Workplace: #LI-Onsite
HIL Test Engineer - BMS
Engineer job in Hayward, CA
Job Title: HIL Test Engineer (BMS System)
Employment Type: Full-Time
We are seeking a skilled Embedded Engineer with strong expertise in Hardware-in-the-Loop (HIL) testing and Battery Management Systems (BMS). The ideal candidate will be responsible for developing, validating, and optimizing embedded control systems related to automotive or industrial battery applications. This role involves hands-on work with HIL platforms, embedded firmware, diagnostics, and battery system integration.
Key Responsibilities:
Develop, validate, and troubleshoot embedded software for Battery Management Systems (BMS).
Plan, execute, and automate HIL test cases using tools such as dSPACE, NI, Vector, or equivalent systems.
Create test scripts, perform fault injection, and ensure BMS compliance with safety and performance requirements.
Analyze system behavior, debug issues, and implement corrective actions across embedded software and hardware.
Work closely with cross-functional teams including systems engineering, hardware, validation, and controls.
Support integration testing for HV battery packs, modules, and EV subsystems.
Develop test documentation: test plans, procedures, reports, and traceability matrices.
Perform CAN/LIN communication analysis using tools such as CANoe, CANalyzer, or Vector tools.
Contribute to continuous improvement of testing frameworks, automation, and embedded processes.
Required Qualifications:
Bachelor's or Master's degree in Electrical Engineering, Embedded Systems, Electronics, Mechatronics, or related field.
3-6+ years of experience in embedded systems development and/or validation.
Hands-on experience with HIL testing (dSPACE, NI, Vector VT, ETAS LABCAR, etc.).
Strong understanding of Battery Management Systems, SOC/SOH estimation, cell balancing, thermal management, and HV safety.
Proficiency in embedded C/C++, control algorithms, and microcontroller-based systems.
Experience with CAN communication, UDS diagnostics, and scripting languages (Python, CAPL, MATLAB/Simulink).
Preferred Qualifications:
Experience with EV powertrain, high-voltage batteries, or automotive functional safety (ISO 26262).
Familiarity with real-time operating systems (RTOS) and AUTOSAR environments.
Knowledge of automation frameworks and CI/CD for embedded testing.
Experience working with model-based development (MBD).
Testing Engineer I
Engineer job in San Francisco, CA
We are seeking a detail-oriented and proactive Testing Engineer I to join our Quality Engineering team. In this role, you will collaborate with clients' test engineering teams to design test plans, develop test cases, execute manual tests, and identify/report defects. The ideal candidate should have strong analytical skills, excellent communication abilities, and a passion for delivering high-quality products.
Key Responsibilities
Collaborate with client test engineering teams to:
Develop comprehensive test plans for various components.
Create detailed and accurate test cases.
Execute manual testing across multiple platforms and environments.
Identify, document, and report bugs/defects using standard tools.
Perform a wide range of testing activities, including:
Camera & Photography Testing
Back-end Testing
Black Box Testing
Carrier Testing
Cross-Browser / Cross-Platform Testing
Compatibility Testing
Documentation Testing
Compliance Testing
Exploratory Testing
Accessibility Testing
Functional Testing
API / Services Testing
Integration Testing
Device Testing
Regression Testing
Globalization / Localization / Language Testing
User Acceptance Testing (UAT)
Mobile Application Testing
System Testing
Manual Testing
Analyze customer scenarios to ensure comprehensive test coverage.
Maintain accurate test documentation, logs, and reports.
Collaborate with developers, product managers, and stakeholders during defect triage and issue resolution.
Requirements
0-2 years of experience in Software Testing or Quality Assurance.
Hands-on experience working with Unix/Linux or Windows environments.
Strong understanding of manual testing concepts, test design, and bug reporting.
Working knowledge of test automation tools (Selenium, Appium, or similar) is an added advantage.
Excellent analytical skills with the ability to think through customer usage scenarios.
Strong written and verbal communication skills.
Detail-oriented, organized, and able to work in a fast-paced environment.
Preferred Skills (Nice to Have)
Basic scripting skills (Python, Shell, JavaScript, or similar).
Familiarity with API testing tools such as Postman or Swagger.
Exposure to automation frameworks or CI/CD pipelines.
Swift XCUI Test Engineer
Engineer job in Cupertino, CA
Hiring: Swift XCUI Test Engineer - iOS Device Testing
We're looking for an experienced Swift XCUI Test Engineer to join a high-impact iOS testing initiative. If you have strong hands-on expertise in iOS automation and device testing, this could be a great opportunity to work on cutting-edge mobile solutions.
⚠️ Important Client Requirement
USC & GC Only
Also eligible: H4-EAD, L2-EAD, TN Visa
No other visa types accepted
Location: Cupertino, CA (Hybrid)
Duration: 6+ Months (Possibility of Extension)
Job Summary
We are seeking a seasoned XCUI Test Engineer with deep experience in iOS device testing automation. The ideal candidate will design, develop, and maintain robust XCUI automation frameworks using Swift and Xcode, ensuring high-quality iOS applications.
Must-Have (Non-Negotiable) Skills
7+ years of overall experience
Strong hands-on experience with XCUI Test automation
Proficiency in Swift and Xcode
Solid experience in iOS device testing (real devices)
Expertise in developing and maintaining XCUI automation scripts
Key Responsibilities
Develop and execute XCUI automation scripts for iOS applications
Perform end-to-end iOS device testing
Collaborate with developers and QA teams to improve test coverage
Identify, log, and track defects effectively
📩 Interested? Apply now or DM us to explore this opportunity! You can share resumes at ********************* OR Call us on *****************
Validation Engineer
Engineer job in Palo Alto, CA
Role: Firmware Validation Software Engineer
Type: Contract to Hire
Pay Range: $48-$53/hr.
Mission:
This will be part of the supercharger team and will be responsible for testing our EV charger features to ensure the quality and safety of the charging experience for both client owners and third party EVs.??You will architect, design, and implement firmware validation procedures, equipment, tooling, and automation to efficiently test charging components and subsystems.??You will work closely with development and integration teams to explore and validate the performance capabilities of our hardware and firmware to ensure code quality is high.
Must Haves:
Degree in Electrical Engineering, Computer Engineering, or a related technical field, or equivalent experience
Experience in embedded systems validation, firmware testing, or related fields
Hands-on expertise with hardware debugging tools (oscilloscopes, protocol analyzers, etc.)
Strong understanding of software development in systems languages (e.g. C, C++, Rust), Linux software architecture, embedded firmware (e.g. RTOS)
Ability to translate complex requirements into scalable test solutions
Day-to-Day
Design and deploy advanced automated test frameworks for embedded Linux and RTOS-based products
Develop software-in-the-loop (SIL) and hardware-in-the-loop (HIL) test systems using tools like oscilloscopes, logic analyzers, and custom automation
Create actionable test reports to track code coverage, regression metrics, and release readiness
Reverse-engineer complex systems to identify edge cases and failure modes
Collaborate with cross-functional teams to refine validation strategies and troubleshoot issues
Drive adoption of best practices for test automation, CI/CD, code robustness, and infrastructure scalability
Plusses:
communication protocols (Ethernet, CAN, RS485, etc.)
The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually - as applicable.
Staff Backend Engineer
Engineer job in San Francisco, CA
80Twenty is a boutique marketing recruitment agency that connects high-growth companies with exceptional candidates.
Want to build technology that truly moves the needle in healthcare? Join a fast-scaling, profitable healthcare services company - independently grown and not VC-backed - on a mission to make healthcare simpler, smarter, and more human! Our client is a healthcare tech and services company based in San Francisco, combining clinical expertise, operational excellence, and modern engineering to reshape how people experience care. From personalized medication management and transparent pharmacy pricing to community-based chronic care support, we're building a system that empowers both patients and providers.
This is a fully onsite role based in San Francisco, CA. Candidates must be located within 30 miles of San Francisco. The standard schedule is Monday-Friday, 9am-7pm and may vary depending on business needs and role responsibilities.
In this role, you will:
Design, build, and scale backend services that power pharmacy, telehealth, and patient-facing workflows.
Collaborate cross-functionally with product, operations, and pharmacy teams to deliver seamless integrations and reliable systems.
Lead architectural design discussions and set long-term technical direction for the backend stack.
Implement best practices for system reliability, observability, security, and scalability.
Drive operational excellence through CI/CD pipelines, cloud infrastructure (AWS), and container orchestration (Kubernetes).
Mentor fellow engineers and help shape our backend engineering culture.
Optimize system performance and streamline complex data flows across distributed services.
Influence and define standards for how we build, test, and deploy software across the company.
Who You Are
7+ years of backend engineering experience, ideally in fast-moving production environments.
Strong experience with Node.js (TypeScript / JavaScript) and modern backend frameworks.
Deep familiarity with AWS, Kubernetes, CI/CD, and distributed system design.
Adept at owning code from design through deployment - you care about maintainability, reliability, and long-term scalability.
Excellent communicator who enjoys collaborating across disciplines.
Motivated by solving complex real-world problems in healthcare and improving patient outcomes.
Bonus points for experience in healthcare, pharmacy systems, inventory/fulfillment flows, or regulated environments.
Why This Role Stands Out
You'll own high-impact systems that directly affect patient and provider experiences.
You'll shape backend architecture and engineering best practices in a growing company.
You'll join a profitable, non-VC-backed organization focused on long-term sustainability.
You'll work in-person with an ambitious, mission-driven team in downtown San Francisco.
Competitive compensation, equity opportunities, and strong benefits designed to help you thrive.
This is a great opportunity to be a key member of the engineering team, taking technical ownership of our pharmacy platform's core backend systems. Your work will directly power real-time healthcare operations and improve access to care. If you're excited to apply your engineering expertise to meaningful healthcare infrastructure - and want to join a company that values autonomy, sustainability, and impact - we want to hear from you!
Base salary: $250k-300k DOE + generous equity and benefits
Staff ML Infrastructure Engineer
Engineer job in San Francisco, CA
Staff / Lead ML Infrastructure Engineer
San Francisco, CA - Onsite
Salary - Over market average + equity
We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads.
What You'll Own
Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment.
High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines.
Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs.
End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout.
Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability.
Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling.
Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction.
What You've Done
Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company.
Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams.
Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure).
Strong engineering fundamentals in Python, Go, or equivalent languages.
Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data.
Demonstrated ability to lead complex cross-org initiatives and drive technical strategy.
Nice to Have
Experience with video processing systems, large-scale media pipelines, or streaming architectures.
Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators).
Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads.
Background working in high-growth AI startups or research-focused environments.
Security and compliance considerations for models that generate or process user content.
Why Join
Shape the underlying platform powering one of the most advanced generative video systems in the world.
Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs.
Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies.
Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.
Staff Engineer
Engineer job in Berkeley, CA
Do you want to play a defining role in a well backed AI company building the next generation of intelligent agents?
Compensation: $220k - $240k
Employment Type: Full time
Model: Hybrid (days on site, 3 days remote)
This company is building AI agents that automate complex, manual workflows across one of the largest and most operationally complex industries in the world. What started with voice, the hardest and highest impact interface, is rapidly expanding into full end-to-end workflow automation across sales, servicing, and claims. The long term vision is to create reasoning agents capable of operating autonomously across entire enterprise systems.
With over $70M raised, including a recent large Series B led by top tier venture firms, the company is entering a phase of rapid scale. Engineering is the core of the business, and technical decisions made today will define how intelligent systems operate in real production environments for years to come.
The Opportunity:
As a Staff Software Engineer, you will be a senior technical leader responsible for shaping foundational systems that power AI-driven products at scale. This role goes far beyond feature delivery. You will own architectural direction, influence platform strategy, and build systems that enable reliable, observable, high-performance AI agents in a regulated, mission-critical environment.
You will work with an elite group of engineers, researchers, and product leaders who value strong technical judgment, clear communication, and high ownership. This is a role for someone who thrives in ambiguity, enjoys solving hard infrastructure problems, and wants to see their work have immediate, real world impact.
What You Will Do:
Define and drive the technical vision for core platforms and domains, including architecture, infrastructure, tooling, and performance
Design, build, and operate scalable backend systems that leverage foundational LLMs and asynchronous workflows
Lead architectural decisions and trade-offs, balancing speed of iteration with long-term reliability and maintainability
Partner closely with product, data science, and infrastructure teams to translate business strategy into durable technical roadmaps
Serve as a technical mentor through design reviews, code reviews, and hands-on guidance, raising the bar for engineering excellence
Own operational excellence across the stack, including debugging complex issues, participating in on-call, and leading post-mortems
Define, measure, and improve reliability metrics such as SLAs, SLOs, and SLIs
Identify technical debt and drive initiatives that improve system quality, performance, and developer velocity
Introduce new technologies and processes that materially improve how teams build and ship software
Represent the engineering organization externally when appropriate through technical talks, open source, or partner engagement
What We're Looking For:
8+ years of experience building and operating high-quality production software, with strong depth in Python
Demonstrated experience architecting asynchronous, distributed, high-throughput systems in production
Strong expertise with Python frameworks such as FastAPI, Django, and asyncio or equivalent
Proficiency with Node.js, React, TypeScript, and Express, with sound judgment on when to use each stack
Deep knowledge of SQL and experience with distributed messaging and streaming systems such as Kafka, SQS, SNS, or RabbitMQ
Solid cloud experience with AWS, GCP, or Azure, including infrastructure as code, CI/CD, and observability
Ability to navigate ambiguity, make principled trade-offs, and lead without formal authority
Experience working in remote, asynchronous, distributed teams with strong written and verbal communication skills
Curiosity and enthusiasm for emerging technologies and their real-world applications
Nice to Haves:
Hands-on experience working with large language models and techniques to improve reliability, latency, and cost efficiency
Experience in regulated or compliance-heavy industries such as insurance, finance, or healthcare
Background in high-growth startup environments where systems and teams scaled rapidly
Proven track record of mentoring senior and mid-level engineers
Public technical contributions through open source, talks, or publications
Why This Role:
Strong funding, long runway, and clear momentum toward category leadership
Ownership over foundational systems that define how autonomous AI agents operate in production
High autonomy and trust with direct influence on long-term technical direction
A collaborative, high caliber engineering culture that values rigor, learning, and impact
The opportunity to help define a new category of applied AI systems used by real customers at scale
If you are excited by the chance to shape the core architecture of an AI platform operating in the real world, this role offers both the scope and the ownership to make a lasting impact.
Simulation Engineer
Engineer job in Mountain View, CA
An Isaac Sim expert has deep knowledge of NVIDIA's robotics simulation platform and its integration into robotics and AI workflows. This expertise covers building, testing, and training AI-driven robots in physically realistic virtual environments using the NVIDIA Omniverse platform.
Core areas of expertise:-
An Isaac Sim expert is skilled in a wide range of tasks and technologies essential for advanced robotics simulation:
Physics simulation: Tuning and optimizing the high-fidelity, GPU-accelerated PhysX engine for realistic robot behavior.
Synthetic data generation (SDG): Using NVIDIA Omniverse Replicator to generate large, labeled datasets for training perception models. This includes randomizing scenes, objects, and lighting to create diverse data.
Digital twins: Creating precise virtual replicas of real-world environments, such as factory floors, to design and validate robot applications before real-world deployment.
Robot learning: Developing and accelerating reinforcement learning (RL) and imitation learning algorithms using the GPU-accelerated Isaac Lab framework.
Sensor simulation: Accurately simulating a variety of sensors, including cameras, LiDAR, and contact sensors, with features like RTX real-time ray and path tracing.
Robotics integration: Bridging the simulation to real-world robots using communication protocols like ROS and ROS 2.
Workflow scripting: Using Python and the Core API for a wide range of tasks, from building environments to scripting complex robot behaviors.
USD and Omniverse: Leveraging the Universal Scene Description (OpenUSD) file format to import, build, and share robot and environment assets.
Key skills for an Isaac Sim expert:-
Recruiters and project managers seeking an expert in this field often look for the following skills:
Technical proficiency: Deep expertise in Python and/or C++ and extensive experience with Isaac Sim and the Omniverse platform.
Robotics fundamentals: A strong background in physics, kinematics, motion planning, and 3D modeling.
Machine learning: Knowledge of training and deploying AI models, particularly in the context of robot perception and control.
System integration: Experience integrating different software components and hardware into a cohesive robotics system.
Troubleshooting: The ability to debug complex issues related to physics, integration, and simulation performance.
Research & Development Engineer (IoT)
Engineer job in Davis, CA
$130-150k base salary
Davis, CA
We're partnered with an industry leader in the utility-scale solar digitization and automation space, who are currently going through some exciting growth in their IoT and are looking for an experienced Snr IoT R&D Engineer to join their team in Davis, CA.
The R&D Engineer will be leading on the design, development and prototyping of IIoT products that will provide critical infrastructure for construction automation in the solar sector, and then working closely with cross-functional teams to develop integrated hardware and software systems. The role will work closely with the IoT Director to define project scopes, working with the product managers to turn requirements into technical solutions, and providing technical mentorship to junior technicians and engineers internally.
Key skills & experience:
Demonstrable experience as a professional in the hardware product development space, preferably in a start-up or R&D environment
This is a hands-on role that will be focused ‘tinkering' with a lot of new products/ideas - would be good to have experience with RF, GPS, Vision (Cameras, Optics & Lighting), and systems integration
Should have a good understanding of fabrication technologies, power delivery systems, and electrical troubleshooting techniques
Looking for someone with good CAD experience
Looking for someone with a broad/generalist background who has experience across the entire product development process - open to applicants from a Solar, Construction, or Industrial background
This role will be working onsite in Davis, CA.
Interested? Apply now or send a copy of your resume to ***************************
Computer Vision Engineer
Engineer job in Sunnyvale, CA
Job Title: Computer Vision Engineer V - Imaging Simulation Engineer
Duration: 12 Months (Extension Possible)
Rate: $127/hr, W2
Benefits: Medical, Dental, Vision and Weekly Pay
Role Summary
Client Reality Labs is a leader in designing virtual and augmented reality systems. This role supports the Cameras Architecture Team as an Imaging Simulation Engineer, responsible for developing, validating, and executing end-to-end camera system simulations-including optics, sensors, algorithms, and software pipelines-to impact future camera architectures.
The position collaborates with researchers, imaging scientists, algorithm engineers, optics teams, and camera architects to enable high-fidelity simulations and accelerate camera technology development for next-generation AR/VR products.
Key Responsibilities
Develop, validate, and execute state-of-the-art imaging simulation software tools to support Client camera hardware exploration, ML dataset generation, and product architecture studies.
Investigate simulation methods such as ISET, ZEMAX, and non-sequential ray tracing to model realistic camera behavior.
Experiment and data collection to validate simulator accuracy and to improve simulator modeling capability and efficiency
Build and bring up lab setups for image data acquisition of camera prototypes to support camera design studies. Operate, calibrate, and perform routine maintenance of lab equipment.
Develop and document camera test methodologies to support 2D/3D camera system performance analysis.
Develop and debug test scripts for image data collection automation
Processing, analysis and organizing measurement data; presentation of initial analysis
Drive supplier interaction and management to deliver camera prototypes in support of concept demonstrations
Qualifications:(10+ Years)
Minimum Qualifications: Advanced degree (M.S.) or equivalent acquired experience in a discipline such as Imaging Science, Image Processing, Computer Vision, or related fields
Knowledge of image formation process (spectrum, optics/aberrations, PSF, sensor noise, Fourier theory, sampling/aliasing) needed to successfully model and simulate complex imaging phenomena
Experience and knowledge in developing and tuning Image Signal Processing (ISP) algorithms and pipeline.
Experience coding in languages such as MATLAB, Python, C/C++, preferably CUDA, design code for efficiency, and target different platforms such as GPU, Cloud, and other
Experiences in image quality testing of camera systems and familiar with image quality metrics and analysis
• Hands on experience in the development of lab setups for camera system performance study
Experiences in camera calibration and modeling of imaging systems
Familiar with image sensor, imaging optics, and image processing algorithms
Ability to work with minimal direction and managing a project independently from start to finish
Must Have Skills:
Understanding of image formation, capturing, and processing pipeline and techniques
Python/Matlab programming, shell scripting skills
Understanding of subjective and objective image quality evaluation metric and testing procedure
Nice-to-Have Skills
Hands-on experience developing lab setups for camera system studies.
Experience with camera calibration and modeling.
Experience at top-tier imaging companies.
Degrees / Certifications Required:
Bachelor's degree required.
Master's or PhD preferred.
Interview Process
Minimum 2 rounds:
Initial hiring manager screen
Technical interview with the engineering team
Topics: imaging simulation, ISP pipelines, image formation, camera modeling, past project deep dives.
Timing:
Manager screen: 30 minutes
Technical interview: 1 hour
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some job duties such as adhering to company policies, exercising sound judgment, managing stress, working respectfully with others, meeting client expectations, and safeguarding business operations and reputation.
#TMN
Application Engineer
Engineer job in San Jose, CA
A semiconductor client in the Bay Area is looking for an Application Engineer (AE) to provide technical leadership and support in the sales and support of V93000 (V93k) Semiconductor Test Systems and Applications. The ideal candidate will have proven experience with Automatic Test Equipment (ATE), specifically utilizing Advantest's V93000 hardware and SmarTest 7 or 8 software. This role will be critical in developing, implementing, and optimizing test solutions for next-generation high performance computing devices.
• Lead and support sales and application efforts for V93000 Semiconductor Test Systems.
• Engage in sales process activities: requirements analysis, demos, benchmarks, competitive positioning, implementation.
• Ensure product functionality and integration into customer environments.
• Analyze complex customer requirements and provide technical expertise (performance, design, optimization, test program development).
• Design and validate technical solutions aligned with customer business goals.
• Identify and manage resources and deliverables for customer solutions.
• Share emerging technologies with global technical peers.
• Influence customer decisions through technical value creation.
• Create and manage project plans for complex initiatives.
• Represent customer needs to internal teams.
Deliver customer training and consultation.
Required Skills & Experience
• Bachelor's in Electrical/Electronic Engineering or related field.
• 3+ years in IC test or application development.
• Experience with V93000 SMT7/8 and bench instruments.
• C++ or Java programming skills.
Nice to Have Skills & Experience
• SMT8 experience
• Knowledge of VLSI and semiconductor manufacturing.
• Scripting in Perl or Python.
Test Engineer
Engineer job in Fremont, CA
Pay: $75,000.00 - $90,000.00 per year
The Test Engineer I is an entry-level position responsible for supporting system testing in a production environment. Under close supervision, the engineer assists in executing automated test scripts, validating server hardware and software configurations, reviewing test results, and maintaining test infrastructure. This role focuses on developing basic troubleshooting skills and gaining familiarity with testing tools, platforms, and procedures.
The Test Engineering team plays a vital role in the manufacturing process by ensuring server and system-level products meet performance, quality, and reliability standards before packaging. Positioned between assembly and final shipment, the team develops and executes testing strategies based on customer Manufacturing Test Requirement Documents or custom validation scripts. Their responsibilities span functional testing, failure analysis, infrastructure maintenance, and continuous yield improvement. The team collaborates closely with internal departments and global R&D teams to support both high-volume production and new product introduction (NPI).
Duties
Execute automated test scripts under supervision to validate server functionality, firmware, and system-level configurations.
Assist in test log review and help identify deviations from expected results; escalate issues for further analysis.
Support routine test station setup and basic maintenance tasks within a Linux-based environment.
Participate in troubleshooting efforts by gathering data and following structured test procedures.
Contribute to the documentation of test results, anomalies, and corrections under guidance.
Learn to use standard tools and systems including Python-based scripts, PXE boot process, and automated test networks.
Collaborate with senior engineers to support New Product Introduction (NPI) readiness tasks, such as script validation and test plan execution.
Observe and learn debugging processes related to test failures; support data collection and reporting.
Maintain version control of test scripts and log documentation with oversight.
Required Skills/Abilities:
Basic understanding of computer systems, Linux commands, and network fundamentals.
Familiarity with Python or other scripting languages preferred.
Willingness to learn test automation frameworks and follow detailed technical instructions.
Ability to work effectively in a fast-paced, team-oriented manufacturing environment.
Strong attention to detail and eagerness to follow testing protocols accurately.
Effective communication skills for reporting issues and requesting clarification.
Education and Experience:
Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field.
Internship or academic project experience in systems testing, automation, or scripting is a plus.
Physical Requirements:
Prolonged periods of sitting at a desk and working on a computer.
Ability to access and navigate various departments within the organization's facilities
Applications Engineer - Marketing
Engineer job in Milpitas, CA
Socionext America Inc. (SNA)
Socionext Inc., world's second largest fabless semiconductor company, designs, develops and delivers leading edge System-on-Chip cusom silicon solutions to global customers. The company is focused on datacenter compute server, networking, storage, artificial intelligence, automotive and industrial automation market segments that drive today's leading-edge services and applications. Socionext combines world-class expertise, deep enterprise class product development experience, and an extensive IP portfolio to provide differentiating solutions. Socionext Inc. is headquartered in Shin-Yokohama, and has offices in Japan, United States, Europe and Asia.
We are seeking a Marketing Manager for our Data Center business with a background as an Applications Engineer.
The primary responsibilities include but are not limited to:
Create Data Center market technologies inflexion insights
Develop Market Requirements Document (MRD) by engaging with market leading customers and capturing technology needs, systems roadmaps
Study emerging market and industry technology trends
Develop datacenter business opportunities and win strategies
Advocate IP offerings roadmap to customers and collect feedback
Working closely with management to drive all phases of customer design wins and execution
Requirements for this position
:
Bachelor's Degree in EE, Masters preferred
5+ years of successful experience in marketing and closing business
8+ years of experience with data center networking, storage and server products (knowledge of data center interconnects)
Must have experience in networking and storage industry. In depth knowledge of Storage applications is required. Familiarity with solid state storage is a plus.
Requires an excellent understanding of ASIC design and manufacturing flows, including a good grasp of the competitive landscape
Knowledge required - ASIC Marketing, CNICs/HBAs, PCIe, NVMe, Flash, SSD, SATA, SAS, iSCSI
Ability to guide products through development, including the definition and trade off analysis of architectures and new features for the components required for Data Center ASIC
Ability to lead with varied goals and objectives to achieve business unit's direction and purpose
Ability to use financial tools such as ROI and NPV analysis to build business cases.
Teamwork, dedication, strong communications and interpersonal skills
Some travel ~10%
Founding Engineer, ML Systems (Humanoids)
Engineer job in San Francisco, CA
We are building a general AI for humanoid robots that learns in the real world with minimal human supervision. Our approach is based on world-model-based reinforcement learning trained on large-scale data that is practical to collect. This makes it possible to learn reliable behaviors and improve beyond human performance limits. As a founding engineer, you will design and build core systems while helping shape the technical direction from the ground up.
Responsibilities
Build data pipelines that scale to 100k+ hours of multimodal robot data
Scale pre- and post-training runs on 1000s of GPUs
Improve inference efficiency on low-power embedded systems
Lead core architectural decisions, help define the long-term technical roadmap, and set engineering standards from the beginning
Qualifications
Strong practical experience building software infrastructure
Experience implementing and debugging distributed systems
Extensive experience in Python and at least one deep learning library such as PyTorch or JAX
Ideally experienced in implementing scalable training pipelines for world-model-based RL
Experience with systems programming languages (e.g. Rust, C++) is a plus
We're a small, focused team where your contributions would have a major impact. As a founding team member, you'd also have significant ownership in what we're building together - we believe in giving our early engineers meaningful equity that reflects their foundational role.
Manufacturing Engineer
Engineer job in Milpitas, CA
HCLTech is looking for a highly talented and self-motivated Manufacturing Engineer to join it in advancing the technological world through innovation and creativity.
Job Title: Manufacturing Engineer
Position Type: Fulltime
Location: Milpitas, CA
Responsibilities:
Manufacturing Process & Documentation
Manage general manufacturing processes including BOM management, assembly procedures, tools, and drawings.
Maintain accurate documentation and ensure compliance with established standards.
Production Support
Provide day-to-day manufacturing production support.
Drive process improvements, conduct root cause investigations, and perform failure analysis.
Redline and update manufacturing instructions and test methods as needed.
Change Management
Execute change order processes with proper reasoning and justification.
Manage change requests requiring impact assessments, coordinate meetings with cross-functional teams, and ensure timely closure.
Validation & Qualification
Prepare IQ/OQ/PQ protocols in line with standard procedures.
Organize review meetings with the validation board and ensure report completion and closure.
Conduct periodic reviews of validation plans to align with current state.
Risk & Compliance
Demonstrate proficiency in PFMEA and risk assessments at both process and product levels.
Ensure adherence to IEC and EMC standards and medical regulatory requirements.
Technical Expertise
Interpret and create/edit electrical schematics and drawings.
Collaborate with Quality teams regularly.
Perform NCMR disposition per SOP guidelines.
Troubleshoot component-level issues related to PCBA, electrical designs, test fixtures, tools, and equipment.
Build electro-mechanical test fixtures/equipment/tools based on specifications.
Perform preventive maintenance of equipment and fixtures periodically.
Manage End-of-Life (EOL) and component obsolescence.
Audit & Compliance
Support audits, address observations, and implement corrective actions.
Own NC and CAPA processes and deliver on time.
Design & Development
Work with CAD models and PCB layouts.
Write technical reports for component evaluations and engineering studies.
Systems & Tools
Proficient in SAP and Agile systems.
Cross-Functional Collaboration
Communicate effectively with cross-functional teams, buyers, planners, suppliers, and calibration coordinators.
Provide project updates to senior management and take ownership of deliverables.
Work closely with technicians to collect data for continuous improvement.
Pay and Benefits
Pay Range Minimum: $71000 per year
Pay Range Maximum: $108000 per year
HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to ****************** for investigation.
Compensation and Benefits
A candidate's pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.
How You'll Grow
At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.
Testing Engineer I
Engineer job in Fremont, CA
We are seeking a detail-oriented and proactive Testing Engineer I to join our Quality Engineering team. In this role, you will collaborate with clients' test engineering teams to design test plans, develop test cases, execute manual tests, and identify/report defects. The ideal candidate should have strong analytical skills, excellent communication abilities, and a passion for delivering high-quality products.
Key Responsibilities
Collaborate with client test engineering teams to:
Develop comprehensive test plans for various components.
Create detailed and accurate test cases.
Execute manual testing across multiple platforms and environments.
Identify, document, and report bugs/defects using standard tools.
Perform a wide range of testing activities, including:
Camera & Photography Testing
Back-end Testing
Black Box Testing
Carrier Testing
Cross-Browser / Cross-Platform Testing
Compatibility Testing
Documentation Testing
Compliance Testing
Exploratory Testing
Accessibility Testing
Functional Testing
API / Services Testing
Integration Testing
Device Testing
Regression Testing
Globalization / Localization / Language Testing
User Acceptance Testing (UAT)
Mobile Application Testing
System Testing
Manual Testing
Analyze customer scenarios to ensure comprehensive test coverage.
Maintain accurate test documentation, logs, and reports.
Collaborate with developers, product managers, and stakeholders during defect triage and issue resolution.
Requirements
0-2 years of experience in Software Testing or Quality Assurance.
Hands-on experience working with Unix/Linux or Windows environments.
Strong understanding of manual testing concepts, test design, and bug reporting.
Working knowledge of test automation tools (Selenium, Appium, or similar) is an added advantage.
Excellent analytical skills with the ability to think through customer usage scenarios.
Strong written and verbal communication skills.
Detail-oriented, organized, and able to work in a fast-paced environment.
Preferred Skills (Nice to Have)
Basic scripting skills (Python, Shell, JavaScript, or similar).
Familiarity with API testing tools such as Postman or Swagger.
Exposure to automation frameworks or CI/CD pipelines.
Staff ML Infrastructure Engineer
Engineer job in Fremont, CA
Staff / Lead ML Infrastructure Engineer
San Francisco, CA - Onsite
Salary - Over market average + equity
We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads.
What You'll Own
Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment.
High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines.
Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs.
End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout.
Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability.
Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling.
Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction.
What You've Done
Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company.
Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams.
Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure).
Strong engineering fundamentals in Python, Go, or equivalent languages.
Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data.
Demonstrated ability to lead complex cross-org initiatives and drive technical strategy.
Nice to Have
Experience with video processing systems, large-scale media pipelines, or streaming architectures.
Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators).
Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads.
Background working in high-growth AI startups or research-focused environments.
Security and compliance considerations for models that generate or process user content.
Why Join
Shape the underlying platform powering one of the most advanced generative video systems in the world.
Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs.
Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies.
Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.
Project Engineer
Engineer job in San Jose, CA
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.
Staff ML Infrastructure Engineer
Engineer job in Sunnyvale, CA
Staff / Lead ML Infrastructure Engineer
San Francisco, CA - Onsite
Salary - Over market average + equity
We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads.
What You'll Own
Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment.
High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines.
Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs.
End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout.
Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability.
Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling.
Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction.
What You've Done
Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company.
Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams.
Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure).
Strong engineering fundamentals in Python, Go, or equivalent languages.
Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data.
Demonstrated ability to lead complex cross-org initiatives and drive technical strategy.
Nice to Have
Experience with video processing systems, large-scale media pipelines, or streaming architectures.
Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators).
Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads.
Background working in high-growth AI startups or research-focused environments.
Security and compliance considerations for models that generate or process user content.
Why Join
Shape the underlying platform powering one of the most advanced generative video systems in the world.
Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs.
Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies.
Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.