Electrical Construction Project Engineer
Project 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
Auto-ApplyMachine Learning Engineer
Project engineer job in Santa Rosa, CA
Machine Learning Engineer/Researcher
Salary: Up to $300k Base
The Role
First hire owning agentic video pipelines. Build routing, fine-tuning, and backend logic that powers a next-gen video co-pilot. High autonomy. No hand-holding.
What You'll Own
Agentic pipelines for video/image tasks
Routing across open-source + external VLM/LLM providers
Fine-tuning + post-training on targeted tasks
Low-latency backend services for video understanding
Turning product needs into shipped features
Must-Haves
2+ years fine-tuning LLMs/VLMs
Hands-on with video/image models
Built agentic or multimodal applications
Comfortable as the only specialist building the foundation
Machine Learning Engineer
Project engineer job in Redwood City, CA
Senior Machine Learning Engineer (LLM / Audio / Voice AI)
$200,000-$300,000 + Equity
San Francisco Bay Area (Relocation + Sponsorship Available for Exceptional Talent)
Permanent
Our client is a rapidly scaling AI startup operating at $1M+ ARR per employee, building the next generation of real-time voice automation. They're now hiring exceptionally talented (Doesn't matter the years of experience) ML Engineer to help push the boundaries of speech, audio, and LLM-driven systems.
This role sits at the core of their product:
Training LLMs and audio models
Designing high-performance ML infrastructure
Deploying models that must operate reliably under real-world, latency-sensitive conditions
Work end-to-end - experimentation, evaluation, productionisation, and continuous improvement
The environment is fast-paced, deeply technical, and highly collaborative, with 80%+ onsite time expected. This is a true startup role: long hours, high ownership and reward, fast iteration, and the chance to make outsized impact on a rapidly growing product used by hundreds of thousands of customers.
They're looking for engineers with strong academic foundations and demonstrated technical excellence (advanced degrees or standout research/engineering experience), plus hands-on experience shipping ML systems in demanding environments.
If you thrive in ambiguity, love building real-world AI systems, and want to help shape a high-velocity ML organisation from the ground up, this is the opportunity.
Apply now or reach out for details or to explore the role confidentially.
Mechanical Engineer
Project engineer job in San Francisco, CA
Mechanical Engineer (Robotics)
We are partnering with a robotics company building complex electro-mechanical systems where mechanical design directly determines real-world performance. This role is for someone who doesn't just design parts, but owns motion, reliability, and scale.
What You'll Do
Own the end-to-end mechanical design of complex electro-mechanical systems with moving parts
Design and prototype custom mechanisms and actuators under aggressive timelines
Drive concepts from first prototype through high-volume production
Personally design parts for volume manufacturing processes, including:
Injection molding
Die casting
Stamping / sheet metal
Extrusion
Powder metal / MIM
Partner closely with contract manufacturers (CMs) to ensure DFM, reliability, and cost targets are met
Build systems that are not just elegant but robust, testable, and shippable at scale
What We're Looking For
Exceptionally strong mechanical intuition, you understand how things move, fail, and improve
Proven ability to design and prototype quickly without sacrificing rigor
Track record of shipping reliable, hardware products at scale
Deep hands-on experience designing custom mechanisms, joints, transmissions, and actuators
Experience owning mechanical architecture for complex systems with dynamic loads and tight tolerances
Comfortable operating across ambiguity, tight timelines, and high expectations
Required Background
Currently working at a robotics company (hands-on mechanical role)
Background in electro-mechanical systems with real moving parts (not CAD-only work)
Experience taking designs from concept → prototype → volume production
Ideal Signals
Designed robotic arms, legs, mobile platforms, end-effectors, or actuation systems
Personally responsible for motor selection, gearing, kinematics, or load paths
Close collaboration with electrical and controls teams
Bias for execution and ownership over documentation and theory
Senior Machine Learning Engineer
Project engineer job in San Francisco, CA
Senior Digital Twin ML Engineer - San Francisco, CA
A company building AI systems that can interact with the physical world at scale - designing experiments, controlling hardware, and accelerating scientific discovery from days to reality are looking for a Senior Digital Twin ML Engineer to join their team.
What Will I Be Doing:
Develop model-identification pipelines, parameter fitting routines, and adaptive calibration systems for digital twins
Build ML-based dynamic models, multi-scale physics approximators, and hybrid simulation frameworks
Ensure twin fidelity, stability, and cross-version consistency as real systems evolve and new data arrives
Collaborate with simulation, RL, controls, and agent systems teams to integrate digital twins into learning and decision-making workflows
What We're Looking For:
Strong experience building or calibrating digital twins, dynamic models, or data-driven physics models
Familiarity with system identification, time-series modeling, physical parameter estimation, and stability/fidelity considerations
Ability to blend physics intuition, machine learning, and experimental data into robust predictive models
Comfortable working across ML, simulation tools, and physical hardware interfaces in a fast-moving environment
What's In It For Me:
Salary of $200,000 - $300,000 dependent on experience
Greenfield work. Build something that doesn't exist, at the frontier of physical AI and automated hardware design
Real impact. Control actual physical systems contributing to breakthroughs in cancer detection, materials science, and more
Join a company backed by significant venture funding and a $42M government research programme
Apply now for immediate consideration!
Lead Machine Learning Engineer (Geometry/3D/Simulation)
Project engineer job in Santa Rosa, CA
Lead Machine Learning Engineer - Generative AI for the Physical World
A rare opportunity has emerged for a visionary Lead Machine Learning Engineer to build the core intelligence for a stealth-mode, well-funded AI company. This foundational leadership role is for someone passionate about teaching machines to understand and engineer the physical world, moving beyond language and into the complex domain of 3D geometry and physics.
Why Join?
This is a chance to define a new category of software from the ground up. You will have the autonomy to set the technical vision, build a world-class team, and solve fundamental AI challenges that directly impact how next-generation products are designed and built. You will be instrumental in creating the "brain" that powers a revolutionary platform.
The Company
My client is a pioneering startup developing a new class of generative AI. Their platform uses autonomous agents to design, test, and optimize complex physical systems, aiming to radically accelerate today's slow and manual engineering cycles. Backed by top-tier investors, the company is positioned to become a leader in the application of AI to advanced hardware design and manufacturing.
The Role
As the Lead Machine Learning Engineer, you will architect the company's entire ML strategy. You will lead the research and development of the core models that allow AI agents to perceive and reason about 3D geometry. Your primary focus will be on defining the technical roadmap, hiring and mentoring a high-performing team, and guiding the development of novel techniques in geometric deep learning and multimodal reasoning.
The Essential Requirements
Proven experience leading machine learning teams, setting technical direction, and mentoring senior engineers.
Deep expertise in 3D perception, scene understanding, or geometric deep learning (e.g., from robotics, AV, AR/VR).
A strong track record of architecting and deploying complex ML systems from research to production.
Fluency with modern ML frameworks (e.g., PyTorch) and models for geometric data (GNNs, 3D CNNs, NeRFs).
Ability to translate ambiguous product goals into a concrete technical roadmap and execute effectively.
What Will Make You Stand Out
A PhD in a relevant field such as Computer Science or Robotics.
A background in mechanical, aerospace, or a related engineering discipline.
Experience integrating perception models with LLMs or other agent-based systems.
A history of publications in top-tier machine learning conferences.
Benefits
Up to $260,000 base
Meaningful equity
A key leadership role with the autonomy to shape the company's technical culture and direction.
The opportunity to solve high-impact problems at the intersection of AI and engineering.
If you are interested in this role, please apply with your resume through this site.
SEO Keywords for Search
Head of Machine Learning, Head of AI, AI Lead, ML Lead, Principal ML Engineer, Machine Learning Manager, AI Research Lead, 3D Perception, Geometric Deep Learning, Computer Vision, GNN, Graph Neural Networks, 3D Transformers, NeRF, Point Clouds, CAD, Generative AI, Autonomous Agents, Robotics, PyTorch, MLOps, LLM, Reinforcement Learning, AI for Engineering, Simulation, Computational Geometry.
Disclaimer
Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.
NPI Mechanical Engineer - full time /Direct hire (onsite)
Project engineer job in Fremont, CA
Job Title: NPI Mechanical Engineer
Job Type: Full-time
Work Schedule: Onsite
Salary: $88000 - 120000/Yearly
The Mechanical Engineer (Level 2) works with local manufacturing teams and Taiwan-based design teams to resolve mechanical issues in a timely manner and ensure smooth product development and production support. This role supports new product introduction (NPI), fixture and component design, and continuous improvements in manufacturability and assembly.
This position is part of the Engineering Services team, which works across departments to support the engineering and operation teams with technical expertise in electronics, operational software, and systems integration.
Responsibilities:
Collaborate with cross-functional teams including R&D, manufacturing, and customer support.
Analyze and resolve mechanical engineering issues, coordinating with design teams to determine root causes.
Manage and guide the transition of NPI products into production, ensuring manufacturability and assembly readiness.
Design and validate testing fixtures, jigs, and mechanical components to support new projects and production needs.
Provide design-for-manufacturability (DFM) and design-for-assembly (DFA) feedback to improve product quality and efficiency.
Review mechanical drawings and specifications for accuracy, tolerance, and compliance with company standards.
Perform mechanical stress, fit, and tolerance analyses to ensure reliability and performance.
Conduct failure analysis and propose corrective actions for mechanical and structural issues.
Support tooling, sheet metal, and plastic component design, fabrication, and inspection.
Document and update SOPs (Standard Operating Procedures), work instructions, and test plans.
Support factory teams in the U.S. by bridging communication between Taiwan design teams and local production teams.
Participate in cost reduction and process improvement initiatives related to mechanical design and manufacturing.
Qualifications:
Knowledge and experience with server, storage, and/or PC products.
Familiarity with creating server assembly standard operating procedures (SOPs) for production lines.
Skill in using measuring tools such as calipers and altimeters.
Ability to interpret engineering drawings, including dimensional tolerances and GD&T (Geometric Dimensioning & Tolerancing).
Understanding sheet metal product production and inspection; familiarity with NCT and hard tooling manufacturing is desirable.
Understanding of plastic part production and inspection; familiarity with mold-up and hard tooling processes is desirable.
Strong analytical problem-solving and communication skills.
Proficiency in CAD tools (e.g., Creo/Pro-E) preferred.
Bachelor's or Master's degree in Mechanical Engineering or equivalent.
Minimum of 3 years of professional mechanical engineering experience.
Ability to walk and stand on cement floors for extended periods.
Ability to stoop, bend, and perform repetitive tasks.
Prolonged periods of sitting and computer work.
Ability to lift up to 30 pounds.
About Maxonic:
Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients.
Interested in Applying?
Please apply with your most current resume. Feel free to contact Pramod Kumar (******************** / *************** for more details.
Staff Backend Engineer
Project 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
Kotlin Developer / Kotlin engineer (MUST HAVE) - CA / NC
Project engineer job in San Jose, CA
Role: Kotlin Developer / Kotlin Engineer
Duration: Long Term
Immediate Interviews - Need Strong Tech + Strong Communication!
We are looking for a high-impact Java/Kotlin engineer who can hit the ground running and deliver in a fast-paced environment. The client is moving QUICK, and we need someone with deep technical expertise + very clear, concise communication.
Tech Skills Needed:
✔ Java (8+) / Spring Boot
✔ Kotlin
✔ AWS (Lambda, EC2, ECS, S3, RDS)
✔ Microservices, REST APIs
✔ Docker, Kubernetes, CI/CD
✔ System Design, Problem Solving
✔ Excellent communication
Machine Learning Engineer
Project engineer job in San Francisco, CA
About Us
Mintegral is a leading programmatic and interactive mobile advertising platform, starting from the APAC region and radiating out globally. Powered by advanced AI technology, we provide global advertisers and developers with innovative, comprehensive experiences. With our efficient mobile marketing and monetization solutions, we help our clients exceed their marketing goals.
As a self-developed programmatic platform, since Launched in 2015, Mintegral has quickly grown to become one of the largest mobile advertising platform in Asia. We offer a full stack of programmatic products and services including our Self-service Platform, DSP, SSP, Ad Exchange and DMP. We have also created the Mindworks Creative Studio, which offers publishers and brands cutting-edge creative solutions, from traditional creative right through to the latest interactive ad formats. For more information, please visit our website: *****************************
About the Role
We are looking for a highly motivated Machine Learning Engineer to help advance the intelligence of our advertising platform. You will work across the full lifecycle of ML development-from framing ambiguous problems to deploying large-scale production models that directly impact advertiser ROI and user experience.
Responsibilities
Own the end-to-end algorithm development lifecycle, including problem formulation, solution design, experimental validation, and online deployment.
Leverage data analysis and algorithmic innovation to optimize model inference performance, enhance monitoring systems, and continuously improve both monetization efficiency and user experience within the advertising platform.
Identify potential issues and optimization opportunities across the ad delivery system. Actively participate in technical discussions, stay proactive in learning, and apply new technologies to solve real-world problems.
Track cutting-edge research in machine learning and incorporate advanced techniques into practical adtech applications.
Qualifications
Bachelor's or Master's degree in Computer Science, Software Engineering, AI, Mathematics, Physics, or a closely related technical field; strong academic background preferred.
Excellent problem-solving skills, with the ability to abstract complex problems, build models, and analyze large datasets.
Strong engineering fundamentals and production-quality coding skills (Python, C++, or related languages).
Self-driven, resilient, and able to navigate challenging problems with a proactive mindset.
Hands-on experience with optimizing ad systems end-to-end, and understanding system behavior through data loops and feedback cycles.
Practical experience with feature engineering, model architecture design, and sample distribution analysis; background in generative recommendation or LLM-based approaches is a plus.
Experience in RTB and ads strategies, such as cold-start optimization, budget pacing, calibration, or bidding strategies, is strongly preferred.
Senior Machine Learning Engineer (Multimodal AI Safety)
Project engineer job in San Francisco, CA
Senior Machine Learning Engineer (Multimodal AI Trust & Safety)
*We are unable to sponsor at this time.⏰
📢New opening for a Senior ML Engineer to join a small but growing team within digital, gaming and streaming media. Opportunity to develop LLM across the organization and retrieval-augmented generation (RAG) frameworks for the greater good.
Summary:
You will be part of a world-class ML/AI team, developing machine learning models for content moderation and classification. Working cross-functionally to turn business challenges into AI-driven solutions.
Develop large-scale production ML models to solve online safety problems. Trust & Safety, content Intelligence, content moderation, fraud detection.
Build and scale our retrieval-augmented generation (RAG) system that delivers analytic insights and automation to our product teams.
Create and apply NLP, LLM AI models for customer safety in text, voice, audio and image classification.
Analyze business use cases and identify areas where AI models may have predictive limitations or biases.
Design, train and optimize neural networks, within frameworks; TensorFlow and PyTorch.
Experience:
Minimum of 5-7 years of professional experience in machine learning, deep learning and NLP.
Hands-on experience with generative AI models multi-modal AI
Expertise in applying machine learning models in a professional environment with large, complex datasets.
Expertise with Python, libraries pandas, scikit-learn, Jax, PyTorch and PySpark.
Familiarity with multimodal AI models combining text, image, and video data.
Passion for research publication, conferences (NeurlIPS, ICLR, ACL, ICML), AI research.
Education:
Master's in Mathematics, Computer Science, Statistics, Engineering or similar degree (PhD preferred but not required)
Target Total Compensation: $300,000 - $425,000, including a fixed annual salary of $200,000 - $280,000, employee equity grant, and full employee benefits.
Founding Engineer / Product Engineer - $300,000-500,000 base plus Bonus & Equity
Project engineer job in San Francisco, CA
🚀 Hiring: Software Engineer / Founding Engineer / Product Engineer
📍 San Francisco (Hybrid / In-Office)
💰 $300,000-500,000 base plus Bonus & Equity
We're working with a VC-backed startup building a product at the intersection of engineering, product, and real-world impact. This is a rare opportunity to join early, influence architecture, and help shape what the company becomes.
You'll work across front-end, back-end, or full-stack, depending on your strengths and interests. Titles are flexible, as this could be a Founding Engineer, Product Engineer, or Senior Software Engineer role.
You'll be trusted to:
Build and ship core product features end-to-end
Influence technical direction and system design
Work closely with founders, product, and design
Help define engineering standards as the company scales
Tech Stack
React + TypeScript (frontend)
Python or Node.js (backend)
Modern cloud-native tooling
What We're Looking For
Experience at startup or VC-backed companies (Seed-Series B ideal)
Strong fundamentals in React, TypeScript, Python and/or Node
Comfort owning problems, not just tickets
Product-minded engineers who care about
why
, not just
how
Why This Role
Early-stage impact: your work directly shapes the product
High ownership, high trust environment
Strong funding, clear roadmap, ambitious founders
Surrounded by sharp, driven people who move fast
Staff Engineer
Project 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.
Smart Contract Engineer
Project engineer job in San Francisco, CA
You'll work closely with our product, engineering, and security teams to build scalable decentralized systems that push the boundaries of what's possible on-chain.
Key Responsibilities:
Design, write, test, and deploy smart contracts on Ethereum or other EVM-compatible blockchains.
Collaborate with frontend and backend developers to integrate smart contracts into decentralized applications (dApps).
Conduct peer reviews, optimize gas efficiency, and maintain best practices for security.
Develop automated testing frameworks to ensure contract reliability.
Stay up to date with emerging blockchain protocols, development tools, and security standards.
Participate in smart contract audits and coordinate fixes for any identified vulnerabilities.
Contribute to technical documentation for contracts and protocols.
Requirements:
Proven experience developing and deploying smart contracts in Solidity (or Rust, for non-EVM chains).
Strong understanding of blockchain fundamentals, consensus mechanisms, and token standards (ERC-20, ERC-721, ERC-1155).
Experience with smart contract development tools such as Hardhat, Foundry, Truffle, or Remix.
Familiarity with Ethereum and Layer 2 scaling solutions (e.g., Arbitrum, Optimism, Polygon).
Understanding of web3 libraries (ethers.js, web3.js) and dApp integrations.
Machine Learning Engineer
Project engineer job in San Jose, CA
Min 3+ years of hands-on experience in the below mentioned technologies.
Technical Skills
Proficiency in Python and experience with machine learning and AI frameworks (e.g., TensorFlow, PyTorch, VLLM, Llama).
Knowledge of data preprocessing, feature engineering, and fine-tuning ML models.
Familiarity with RESTful APIs for interacting with third-party tools and services.
Experience in developing scripts or tools for process automation.
Problem-Solving Skills
Strong ability to identify inefficiencies in workflows and propose automated solutions.
Analytical skills to evaluate the performance of automated tools and pipelines.
Communication and Collaboration
Effective collaboration skills to work with cross-functional teams and ensure alignment on project goals.
Strong written and verbal communication skills to document workflows and tools clearly.
Optional Skills (Preferred but not mandatory):
Domain knowledge in networking technologies (e.g., routing, switching, security).
Experience with MLOps tools and infrastructure.
Research & Development Engineer (IoT)
Project 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 ***************************
Frontend Engineer (React.JS & Node.JS) - W2 Contract
Project engineer job in San Jose, CA
Frontend Engineer
Duration: 6+ months (possible extension)
Type: W2 Contract (Open to Consider USC, GC, EAD) - No Third Party or C2C
Experience: 6+ Years in an Enterprise Environment with BS or MS in Computer Science.
Must Have: JavaScript, React.JS, Typescript, NodeJS and REST API
Job Summary:
Seeking a Frontend Engineer with strong experience in JavaScript, HTML, CSS, and hands-on expertise in React and Node.js. The role involves building scalable, high-quality UI components and collaborating in an Agile development environment.
Responsibilities:
Develop and maintain frontend modules using JavaScript, HTML, CSS, React, and Node.js.
Implement unit testing (JUnit) and ensure code quality.
Utilize jQuery and core data structures where applicable.
Work closely with cross-functional teams in an Agile/Scrum setup.
Participate in solution design, code reviews, and feature development.
Required Skills:
Bachelor's degree in Computer Science or related field with Strong proficiency in JavaScript, HTML, CSS.
Must-have: React.js and Node.js.
Experience with unit testing tools (JUnit).
Good understanding of data structures and jQuery.
Product Engineer
Project engineer job in San Francisco, CA
About You:
You have several years of experience with full-stack web development. Our application is built with Next.js/TypeScript/Tailwind on the frontend, Python/FastAPI/Postgres/Redis on the backend.
You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc.
You can talk directly with customers, analyze usage data, and iterate based on feedback. You can make sound product decisions on your own.
You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot!
About Us:
Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup.
We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market.
We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.
PLM Systems Design Engineer
Project engineer job in Sunnyvale, CA
The WW BPR PLM team serves as a support entity for the business process, product data management, and PLM system and integration across Operations for all of Apple's Line of Businesses (LOBs). The team collaborates across multiple business stakeholders to develop, maintain and execute a Next Generation PLM roadmap with high benefit to Apple overall. This position requires global coordination of eOorts across all regions. The team's key responsibilities include: - Managing complex large scale projects involving several corporate and regional resources across 3 continents. - Aligning World Wide and Regional teams to our Next Generation PLM program. The Worldwide Business Process Re-engineering (BPR) team is seeking an experienced supply chain professional to lead Product Lifecycle anagement (PLM) focused initiatives. This position will be managing and driving large scale global cross functional initiatives to enable new PLM & Supply chain capabilities, drive process optimization, increase scale & efficiency, and minimize cost. You will work to identify and resolve key issues in a dynamic and ambiguous environment, facing exciting challenges daily. This position would also play a critical role in the global rollout of Apple's next generation Product Lifecycle Management (PLM) and integrated Supply Chain. Prior hands-on PLM and manufacturing/supply chain in the electronics industry within with a leading global consumer electronics company is required.
Minimum Qualifications
* Bachelor's degree in Industrial Engineering, or related field (Manufacturing, Mechanical, Electrical, etc.)
* 5-7+ years of experience of leading global supply chain initiatives improving processes in the electronics industry - design, sourcing, manufacturing, logistics, fulfillment, after-sale service
* Deep PLM and Operations / Supply Chain process experience and be self-directed, motivated, and comfortable working in an extremely fast-paced environment
* Technical proficiency in PLM enterprise software, integration technologies, and data platforms
* Extensive experience in global supply chain management specific to New Product Introduction (NPI) at a global scale
* Comprehensive knowledge of how PLM data is used across enterprise, manufacturing, and supply chain processes. Ability to identify uses cases where improved data will bring significant benefit to teams, mobilize POC's, and scale rapid solutions.
* Hands on experience working with PLM data across the enterprise translating how data enables business processes and recommend process eOiciency improvements resulting from data processing improvements and realize the benefit * Strong analytical, project management and leadership skills to handle a variety of activities and complexities spanning the organization and be willing to work at both a very detailed and strategic level
* The ability to facilitate global projects and to align business and technical teams
* Exceptional communication skills, verbal, written and presentation to easily communicate complex technical concepts to executive leadership
* Solid ability to personally deliver large scale global initiatives under pressure, with high levels of complexity and ambiguity. Identify build strong business cases for the Data Foundation use cases. Assist in the mobilization of POC's and projects to mobilize the use cases.
Preferred Qualifications
* Master Degree in Industrial Engineering, or related field (Manufacturing, Mechanical, Electrical, etc.)
* Ability to operate independently with conviction and drive teams to the right levels of quality in delivery even under pressure.
* Handle ambiguity in problem definition, have a good handle on business value and have the initiative to craft problems and projects so that they deliver maximum impact.
Electrical System Design Engineer
Project engineer job in Fremont, CA
Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.
Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.
Here are the job details
Position: Electrical Engineer
Location: Fermont, CA (Onsite Work)
Duration: 12+ Months
Rate: $95/hr W2
EE System Design Position
Experience:
• Large scale system level design experience involving different subcomponents.
• Cable and cable harness design
• PCB design & layout experience preferred
• RS232, Ethernet, Ethercat bus experience preferred
• 208/408VAC, breakers, contactors and distribution box design preferred
• Safety Certification, S22 preferred
• 24VDC digital IO preferred
• SAP/Product-Lifecycle-Management online documentation system
Job Description:
• Design and modify IO and power cables and PCBs.
• Find component replacements and test obsolete/End of life components
• Drive solutions to field problem reports.
• Conduct design reviews when necessary
• Check electrical drawings and schematics before production release
• Work with mechanical and software engineers to solve field and/or new design problems
• BOM (Bill of Material) structuring for new/updated parts
• Online documentation in a Product-Lifecycle-Management system
Requirements:
• Min: BS in Electrical/Electronic Engineering
• Must be motivated; job requires a “Sherlock Holmes attitude” to find the correct resource/tool
owner or technical expert.
• Must be self-directed/independent as well as able to work in a team
• Good communication and presentation skills
• Strong computer proficiency
• Ability to handle multiple tasks and manage priorities
• Schematic capture CAD experience; OrCAD preferred
• BOM management software experience
• Proficient in MS office products required.
Note: This is not an embedded systems job.
Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.