Engineering Jobs in Newark, CA

Regional Sales Manager / Sales Manager / Sales Engineer / Area Sales Manager / Business Development Manager / Technical Sales Engineer

San Francisco Bay area ideal, to cover PACIFIC NORTHWEST - whilst covering Washington, Oregon, Idaho and Montana.

MOTION AND SERVO EXPERIENCE REQUIRED!

We are seeking a Regional Sales Manager / Sales Manager / Sales Engineer / Area Sales Manager / Business Development Manager / Technical Sales Engineer to support pre- and post-sales activities across Washington, Oregon, Idaho and Montana. The role can be based anywhere in the Northwest and requires 30–50% travel.

This position focuses on growing and supporting motion control and automation customers across multiple industries, working with both direct customers and distribution partners.

Package

Salary $140,000 - $180,000 base + Commission

Generous 401k Retirement Plan

Remote working

Insurance

Regional Sales Manager / Sales Manager / Sales Engineer / Area Sales Manager / Business Development Manager / Technical Sales Engineer Key Responsibilities:

• Develop and execute regional sales plans to drive growth
• Support and manage distributor, integrator, OEM, and end-user relationships
• Execute consultative, solution-based selling at all customer levels
• Provide strong technical and application support for motion and machine control systems
• Generate and manage sales leads, proposals, pricing, and negotiations
• Deliver product presentations and on-site demonstrations
• Manage territory performance to meet strategic and financial goals

Regional Sales Manager / Sales Manager / Sales Engineer / Area Sales Manager / Business Development Manager / Technical Sales Engineer Key Requirements

• BS/MS in Electrical or Mechanical Engineering or 10+ years of relevant sales experience
• 10+ years of field sales experience in industrial automation or motion control
• Strong understanding of the U.S. motion control and servo drive market and competitor offerings
• Proven success in consultative/solution selling
• Experience supporting multiple sales channels (distributors, system integrators, OEMs, reps)
• Strong technical aptitude with the ability to guide customers from concept through purchase
• Willingness to travel regularly (circa 50%) across California, Washington, Oregon, Idaho and Montana.
• Valid driver's license and reliable transportation

We are looking for our founding Staff Elixir Backend Software Engineer to build Community's technical foundation from the ground up. You'll be employee #1 on Papa Community's engineering team, reporting directly to Papa Community's GM with dotted-line mentorship from Papa core's engineering leadership.

What You'll Do (Responsibilities)

• Build the technical foundation for Papa Community's virtual care platform, designing and implementing systems that connect EHR, care management tools, billing infrastructure, and patient communication platforms.

• Develop secure and scalable integrations between healthcare systems, ensuring reliable data flows and HIPAA-compliant architecture that can support growth to thousands of patients.

• Build data infrastructure and internal tools that enable operational intelligence, automation, and real-time visibility into patient outcomes and care workflows.

• Create systems that support clinical teams with dashboards, automated patient outreach triggers, and clinical decision support tools.

• Lead key technical decisions, including evaluating build-vs-buy tradeoffs, selecting technologies, and architecting solutions that balance speed, reliability, and scalability.

• Partner with Papa Community leadership and Papa's core engineering team to shape the technical roadmap and determine when to leverage third-party tools versus building custom solutions.

• Establish engineering standards and best practices, including code quality standards, testing expectations, deployment processes, and documentation.

• Own platform reliability, monitoring, and performance, ensuring systems supporting healthcare workflows remain stable and resilient.

• Continuously improve system performance, observability, and operational processes to maintain high reliability for patient data, care coordination, and billing workflows.

Minimum Qualifications

• 10+ years of professional software development experience.

• Expert-level proficiency in Elixir.

• Proven experience building and shipping reliable production systems.

• Experience improving software quality through code reviews, automated testing, controlled rollouts, and monitoring.

• Strong focus on system reliability, performance, and maintainability.

• Passion for improving healthcare access and patient outcomes.

Preferred Qualifications

• Experience working with healthcare technology and industry data standards such as FHIR, HL7, and X12.

• Experience integrating with EHR systems, healthcare vendors, clearinghouses, or billing platforms.

• Experience designing HIPAA-compliant systems that manage protected health information.

• Experience building backend applications using Phoenix LiveView.

Compensation & Benefits:

• Target salary range of $200,000 to $230,000
• Equity
• Medical, dental and vision insurance coverage
• Health Savings Account (HSA) & Flexible Spending Account (FSA)
• 401(k) plan with a match up to 4%
• Flexible PTO & 11 company holidays
• Parental leave and caregiver leave

We're working with a fast growing AI startup in SF that's hiring a GTM Engineer to help scale revenue through data, analytics, and experimentation.

This isn't a typical analytics role.

You'll sit at the intersection of product, growth, and engineering, building the systems that determine how the company acquires customers, measures performance, and optimizes every part of the funnel.

Your work directly impacts revenue.

What makes it interesting is the environment:

• High ownership across growth and product systems

• Direct exposure to paid channels, product analytics, and revenue data

• Building real infrastructure, not just dashboards

• Heavy use of AI to surface insights and drive decisions

• 14 hour days in a high-intensity environment where you move fast and see immediate impact

They're looking for people who:

• Have strong Python and SQL skills

• Have worked with paid acquisition data (Google, Meta, TikTok)

• Think in experiments and understand causation vs correlation

• Have built or owned metrics, attribution, or LTV/CAC systems

• Want to work in a fast-paced, high-growth environment

SF based, in office

$130K to $190K + bonus + equity

If this sounds interesting, feel free to message me or get in touch.

Senior/Staff Software Engineer

Location: Fremont Area (hybrid)

Type: Full-time

Reports To: Head of Software

About the Company:

Work with a venture-funded startup led by experienced entrepreneurs with a track record of building successful healthcare technology companies. Our mission is to transform healthcare delivery through Physical AI-combining advanced AI intelligence with next-generation robotics.

What Sets Us Apart:

• Proven Leadership: Founded by serial entrepreneurs with previous 9-figure exits.
• Strong Funding: Well-capitalized with backing from top-tier investors.
• Clear Market Need: Tackling validated, high-impact problems in healthcare delivery.
• Technical Moat: Building proprietary technology that is extremely difficult to replicate.
• Stealth Advantage: Perfecting our technology in stealth mode before broader market entry.

This is a foundational hire. You own the cloud services that power the dispense pipeline — and you set the engineering standard for how they're built. Prescription lifecycle, inventory management, fleet coordination, safety gates. You design the systems, make the technical calls, and establish the patterns that the team builds on. As we grow, the practices you put in place become the way we work. You'll collaborate closely with a small, senior engineering team and take full ownership of your domain.

Must-Have

• Distributed systems expertise — You've designed and operated services where correctness under concurrency, partial failure, and network partitions actually matters. Not just read about it.
• PostgreSQL — Schema design, migrations, performance tuning, transactions. Not just an ORM user.
• API and system design — You've made technical decisions that shaped how other engineers build. You've owned interfaces that other systems depend on.
• Message queue patterns — At-least-once delivery, dead letter queues, backpressure, idempotency. SQS, Kafka, or similar.
• Safety-critical mindset — You design the failure path first. The happy path is just "recovery wasn't needed."
• Rust — You've shipped Rust to production. async/Tokio, error handling patterns, type-driven design.
• Technical leadership — You've raised the bar on a team. Through code review, architecture decisions, mentorship, or establishing conventions that stuck. You don't need a title to lead.

Please apply if you are intersted!

Job Description: NVIDIA - Autonomous Vehicle Integration & Test Engineer - Santa Clara, CA

The Autonomous Vehicle Integration & Test Engineer will be a part of NVIDIA's triage team and will handle reported incidents with the product this is an engineer position, troubleshoot and find root cause of issues in the sensors, warning lights, cameras, computing unit issues, application errors. They have to find the root-cause-and figure out how to fix it, it stops when it goes into software, like if there's a bug in the software he hands it off to software team. Handshake of software, they must upload software packages to the product. There's no programming of software but they do need to upload these software packages in a Linux environment (basic commands), this is more high level for sensors and software packages. Identifying the issue with the product-if its software they tell them what software package to unload to product and the integration engineer does that.

Qualifications:

• 3+ years of hands-on experience diagnosing robotics or hardware
• 2+ years of experience with automotive bus systems for analysis (FLEXRay, CAN) -Really strong Linux experience-deploying/updating/installing software packages into Linux OS
• Extensive experience troubleshooting electrical systems/Previously worked in a troubleshooting role-specifically within electrical systems -
• Bachelors in Engineering (electrical, mechanical, IT)

Nice to have (Not Required)

• Previously worked in the OEM industry: Rivian, Waymo, Zoox, Tesla, , Momenta, Cruise, May Mobility, Nuro, , Honda R&D, etc., OR Aerospace industry

Job Info:

• Job Type: Contract
• Duration: 2+ years (On-going)
• Location: Santa Clara CA
• Hourly Pay: $60-$70
• Health, Dental, Vision, 401k
• 10 PTO Days, 5 Paid Sick Leave Days, Paid Holidays

Aivres is a leading global data center and cloud computing solutions provider committed to delivering innovative technologies that propel the world's leading industries to new frontiers. We deliver and deploy robust, performance-optimized, purpose-built platforms to major data centers around the globe. As a Sr. Systems Engineer, you will play a pivotal role in the design, development, and integration of cutting-edge server systems. You will work cross-functionally with various teams to define hardware architecture, develop customized solutions, and resolve complex technical issues.

We are seeking a highly skilled and motivated Sr. System Test Engineer to play a critical role in guaranteeing the quality and performance of our server products. You will be responsible for conducting comprehensive hardware system integration testing, identifying potential issues, and recommending solutions to enhance system efficiency and reliability.

Responsibilities:

• Lead hardware system integration testing for server product development, ensuring thoroughness and accuracy.
• Design and execute customized test plans and methods tailored to specific customer needs.
• Analyze test data, identify problems, and propose effective solutions for improvement.
• Write detailed test reports and meticulously track identified issues through resolution.
• Stay at the forefront of testing technology by actively researching and implementing new methodologies and tools.
• Collaborate with cross-functional teams to ensure seamless integration and optimal system performance.

Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Minimum of 5 years of relevant experience in system testing, preferably with a focus on server hardware.
• Familiarity with GPU-related testing experience is a plus.
• In-depth understanding of server system software and hardware architecture, including key sever system components and their technical characteristics.
• Strong knowledge of various mainstream operating systems, installation procedures, and troubleshooting techniques.
• Proven ability to independently manage and execute testing tasks, including report writing, data analysis, and problem tracking.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• Prior server testing experience and fluency in both English and Chinese are highly preferred.

Benefits:

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge technology and contribute to innovative projects.
• Collaborative and supportive work environment.
• Career development and growth opportunities.

EEO Statement

Aivres is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Aivres to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

About the Company

We're partnering with a fast-growing, well-funded startup building an AI-driven decision engine for large-scale marketing optimization. This team is applying quantitative, trading-style strategies to improve how millions of dollars are allocated across digital channels—already delivering significant efficiency gains for major global brands.

About the Role

This is a high-impact ML engineering role focused on building the core models and systems that drive automated decision-making. You won't just train models—you'll design the financial logic and execution systems that determine how real capital is deployed in dynamic markets. From identifying inefficiencies to executing decisions in production, you'll own the full lifecycle.

Responsibilities

• Design Core Algorithms: Build models to predict value (e.g., LTV), optimize budget allocation, and detect performance degradation signals
• Build Execution Systems: Develop robust API integrations to deploy decisions in real time across major platforms
• Own Production ML: Take models from prototype → production with strong monitoring, latency control, and drift detection
• Backtest & Validate: Create simulation frameworks to test strategies before real-world deployment

Qualifications

• 4+ years applying ML/optimization in real-world systems
• Strong foundation in statistics, probability, and linear algebra
• Experience deploying models in high-throughput production environments
• Comfortable balancing speed vs. rigor—shipping quickly, then scaling thoughtfully
• Thinks in systems, not scripts

Required Skills

• Background in quantitative finance, trading systems, or ad-tech (RTB)
• Experience with convex optimization or advanced optimization techniques
• Familiarity with AI-assisted development workflows

Preferred Skills

• Bonus: Background in quantitative finance, trading systems, or ad-tech (RTB)
• Bonus: Experience with convex optimization or advanced optimization techniques
• Bonus: Familiarity with AI-assisted development workflows

Pay range and compensation package

• $160,000 – $250,000 base salary
• Meaningful equity
• Full health benefits + unlimited PTO
• Relocation support (Bay Area)
• Daily meals provided

Summary:

Seeking an Industrial Engineer with 3–5 years of manufacturing experience to improve operational efficiency through process optimization, line balancing, capacity planning, and waste reduction. Must be skilled in AutoCAD and FlexSim simulation tools.

Key Responsibilities:

• Conduct time and motion studies to improve productivity
• Perform line balancing and capacity planning
• Develop Value Stream Maps (VSM) for process improvement
• Support resource and materials planning
• Analyze production data to identify bottlenecks and reduce waste
• Use AutoCAD for layout and process design
• Apply FlexSim for simulation and performance improvement
• Collaborate with cross-functional teams on continuous improvement initiatives
• Prepare SOPs and process documentation

Requirements:

• Bachelor's degree in Industrial/Manufacturing Engineering or related field
• 3–5 years of relevant experience in manufacturing
• Proficiency in AutoCAD and FlexSim (mandatory)
• Strong analytical and problem-solving skills
• Experience with Lean Manufacturing and Kaizen
• Good communication and teamwork skills

We're working with a fast growing AI startup in SF that's hiring a Forward Deployed Engineer to help identify and build high-impact solutions across the business.

This isn't a typical engineering role.

You'll be embedded directly with teams across sales, operations, and customer experience, spotting inefficiencies and quickly building AI tools, automations, and systems to solve them.

The focus is on impact, not perfection.

What makes it interesting is the environment:

• High ownership and real business impact

• Working across multiple functions, not just engineering

• Rapid build and ship cycles where ideas go live in days

• Constant exposure to the latest AI tools and capabilities

• 14 hour days in a high-intensity environment where you move fast and see results immediately

They're looking for people who:

• Are strong technical generalists (Python, TypeScript, SQL)

• Think in terms of business outcomes, not just code

• Are comfortable building quickly and iterating in real time

• Can communicate clearly with non-technical stakeholders

• Want to work at the intersection of AI and real-world operations

SF based, in office

$140K to $200K + bonus + equity

If this sounds interesting, feel free to message me or get in touch.

Compiler Engineer

Location: Mountain View, CA (Hybrid)

Working Model: Full-time, hybrid

Salary: Up to $400k + equity

The Opportunity

This is a rare chance to join a deep-tech company building a vertically integrated compute platform, spanning custom silicon, systems software, and compilers. The goal is to enable next-generation AI and machine-learning workloads at unprecedented scale, and the compiler team sits right at the centre of this mission.

Compilers here are not a support function—they are a core design driver, with direct influence over hardware architecture, performance strategy, and long-term platform direction. The work is highly technical, performance-critical, and genuinely impactful.

Compiler Engineer Responsibilities

• Design and implement mid-end and back-end compiler components targeting proprietary hardware architectures.
• Work closely with hardware, architecture, and systems teams to influence design decisions from a compiler author's perspective.
• The role is focused on performance, correctness, and long-term maintainability, contributing to a production-grade compiler stack used to run large-scale ML workloads.

Compiler Engineer Background

• Strong software engineering fundamentals with a performance-first mindset.
• Hands-on experience with core compiler algorithms such as register allocation, instruction selection and scheduling, and loop optimisations.
• Comfortable operating in a hybrid environment and collaborating across hardware and software boundaries.

Compensation & Benefits

Highly competitive base salary up to $400k, plus equity. Comprehensive benefits package including generous PTO, parental leave, learning budget, and flexible working at the start and end of the week.

If this position sounds of interest, please reach out to Harry Hansford @ IC Resources.