software engineer

cloud infrastructure engineer Jobs in San Francisco

cloud infrastructure engineer

cloud platform engineer Jobs in San Francisco

cloud platform engineer

data analyst

fraud risk data scientist Jobs in San Francisco

fraud risk data scientist

data engineer

Workstream

<div><div>Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive.

Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue.</div>
Grow With Us

Workstream is looking for a Data Engineer to design and build the data foundation for our outbound ICP and lead scoring engine. This role will own the architecture, pipelines, and data models needed to ingest millions of external signals (reviews, marketplace listings, website data, POS integrations), transform them into usable insights, and feed predictive scoring models that will directly guide our sales and marketing teams. You'll sit at the intersection of data engineering, growth, and go-to-market strategy, enabling smarter targeting and more scalable outbound.

This is more than a back-end engineering role; we're looking for someone who can move fast, think creatively, and take ownership of a net-new project with direct business impact. You'll collaborate with data science, RevOps, and GTM leaders to bring the system to life&mdash;and you'll be the single-threaded owner of its success.

Day in the Life

Data Infrastructure &amp; Pipelines
<ul>
<li>Design and implement a scalable data warehouse and ETL pipelines to consolidate large volumes of third-party and internal data.</li>
<li>Build reliable data models that capture firmographics, technographics, marketplace volume, location signals, and outreach history.</li>
<li>Ensure data quality, deduplication, and enrichment processes are automated and scalable.</li>
</ul>
Lead Scoring &amp; ICP System
<ul>
<li>Partner with data science to productionize account scoring models (Expected GMV, E-Win Rate, etc.).</li>
<li>Continuously expand and refine the dataset by adding new signals (reviews, POS adoption, competitive presence).</li>
<li>Ensure scoring outputs integrate cleanly into Salesforce and other GTM systems to drive real-time usage.</li>
</ul>
Business Enablement
<ul>
<li>Collaborate with GTM leaders to align the scoring system with outbound workflows, BDR routing, and marketing campaigns.</li>
<li>Translate business requirements into technical specifications, ensuring the system serves multiple teams (Sales, SDRs, Marketing).</li>
<li>Support experimentation with outbound messaging by capturing feedback data and routing it into the scoring loop.</li>
</ul>
Who You Are
<ul>
<li>4&ndash;7 years of experience in data engineering, analytics engineering, or data science in a high-growth B2B SaaS environment.</li>
<li>Strong command of SQL and Python for building and automating data workflows.</li>
<li>Experience designing and maintaining data warehouses (Snowflake preferred) and building pipelines from scratch.</li>
<li>Familiarity with integrating data into Salesforce or other CRMs via APIs, Bulk API, or reverse ETL tools.</li>
<li>A creative, hacker mindset: comfortable sourcing and cleaning messy external datasets, using scrapers, APIs, and enrichment tools.</li>
<li>Ability to operate independently with limited structure&mdash;comfortable owning a greenfield project end-to-end.</li>
<li>Strong business judgment and communication skills; able to work cross-functionally and explain technical concepts to non-technical stakeholders.</li> 
</ul>
Nice to Have
<ul>
<li>Experience with lead scoring, ICP modeling, or sales intelligence systems.</li>
<li>Familiarity with dbt, Airflow, or other data pipeline orchestration tools.</li>
<li>Exposure to lightweight ML frameworks (XGBoost, logistic regression) for predictive modeling.</li>
<li>Prior startup experience where you've built data systems from scratch.</li>
</ul><h3 class="jobSectionHeader">What Success Looks Like in This Role</h3>
<ul><li>Establish a reliable, scalable data foundation that consolidates external signals and internal activity into one source of truth.</li>
<li>Deliver an ICP and lead scoring system that is actively used by sales and marketing to prioritize accounts and improve outbound efficiency.</li>
<li>Create clear pathways for integrating scores and insights into Salesforce and other GTM tools so adoption is seamless.</li>
<li>Build a repeatable process for expanding the system with new data sources, ensuring it continues to get smarter and more valuable over time.</li>
<li>Earn trust across data science and GTM by moving fast, showing tangible business impact, and setting a high bar for data quality.</li>
<li>Position the system as a long-term growth engine, not just a one-off project, with room to evolve into broader RevOps and go-to-market intelligence.</li>
</ul><h3 class="jobSectionHeader">Working at Workstream</h3>

We operate with urgency, ownership, and a growth mindset. 
This is not a traditional 9-to-5 role&mdash;we value accountability, flexibility, and getting results. 
If you thrive in high-growth environments and are passionate about building from scratch, we'd love to connect.

What We Offer
<ul>
<li>A mission-driven and value-based company dedicated to empower deskless workers and local businesses</li>
<li>An early employee opportunity at a Series B hyper-growth startup; work with the founding team and industry veterans to accelerate your career</li>
<li>Competitive salary and equity</li>
<li>Work directly with the founding team and industry veterans to accelerate your career</li>
<li>Competitive salary and equity</li>
<li>Comprehensive health coverage: medical, dental, and vision. We pay 95% of premiums for employees and 85% for dependents</li>
<li>In-office amenities and stocked kitchen</li>
<li>401(k) Plan</li>
<li>Pre-tax commuter benefits</li>
<li>Learning and development stipend</li>
</ul>
Salary

 In compliance with the California Pay Transparency Law, the salary for this role is $120,000 - $150,000 in SF Bay Area. This is not inclusive of our equity package. When determining a candidate's compensation, we consider a number of factors including skillset, experience, job scope, and current market data.<div>
Additional Information

Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

We are committed to the full inclusion of all qualified individuals.</div></div>

Data Engineer

Aurora Innovation

<div><div>Who we are
<div>
Aurora's mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.</div><div> 
The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.</div> 
<div></div>
<div>
At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.</div></div><div></div> 
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are seeking a talented and experienced Software Engineer to join our data engineering and infrastructure team. In this role, you will be a key contributor to the design, development, and maintenance of our data platform, building the scalable and reliable systems that enable our organization to leverage data for insights and product innovation. You will work on the core data lake and data warehouse ecosystem infrastructure, data pipelines, and tools that process data at massive scale, ensuring it is accessible, high-quality, and secure.

In this role, you will
<ul>
<li>Design, build, and maintain robust and scalable data pipelines and ETL/ELT processes to ingest, transform, and load data from various sources into our data warehouse.</li>
<li>Develop and manage data infrastructure components using AWS cloud services and infrastructure-as-code tools like Terraform.</li>
<li>Collaborate with data scientists, analysts, autonomy engineering teams and product teams to understand their data needs and build solutions that meet their requirements.</li>
<li>Optimize data processing systems for performance, reliability, and cost-efficiency.</li>
<li>Implement monitoring, alerting, and logging for data pipelines and infrastructure to ensure operational stability.</li>
<li>Champion best practices in data governance, data quality, and security.</li>
</ul>
Required Qualifications
<ul>
<li>Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li>
<li>3+ years of professional experience in software engineering, with a focus on data-related projects.</li>
<li>Proficiency in at least one programming language commonly used for data engineering (e.g., Python, Go or C++).</li>
<li>Solid experience with big data processing frameworks like Apache Spark, Flink, Kinesis Data Stream, or similar technologies.</li>
<li>Hands-on experience with cloud platforms (AWS, GCP, or Azure) and their data services (e.g., S3, Redshift, BigQuery, Glue).</li>
<li>Strong knowledge of SQL and experience working with relational and NoSQL databases.</li>
<li>Intermediate knowledge of data analytics infrastructure, including data transformation tools such as DBT and visualization frameworks and tools</li>
<li>Experience with building and managing data pipelines using an orchestrator like Apache Airflow.</li>
<li>Able to systematically approach open-ended questions to identify pragmatic data solutions that scale</li>
<li>Able to work effectively in a highly cross-functional, fast-moving and high-stakes environment</li>
<li>Proven ability to communicate technical, data-driven solutions to both technical and non-technical audiences across stakeholders</li>
</ul>
Desirable Qualifications
<ul>
<li>Experience with data warehousing solutions like Snowflake or data lake architectures.</li>
<li>Familiarity with modern data stack tools and practices.</li>
<li>A passion for building elegant, scalable, and maintainable systems.</li>
<li>Experience using Amazon Web Services (AWS) tools</li>
</ul>
The base salary wage range for this position is $139,000 - $223,000 per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-SP1

#Entry-Level<div>
Working at Aurora 
 
At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together &mdash; all without any jerks. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.

Commitment to inclusion

Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech.

For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora's California Employment Privacy Policy.</div></div>

Software Engineer II, Data Engineering & Infrastructure

Atlassian

<div>Overview:

Working at Atlassian
Atlassians can choose where they work &ndash; whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Responsibilities:

Data is a big deal at Atlassian. We ingest billions of events each month into our analytical platforms and have dozens of teams across the company that depend on data platforms to drive their decisions.
Atlassian is looking for an Engineering Leader to join the Data Engineering team and build data products that power product strategy and important decisions across the organization . We are looking for a leader passionate about building systems at scale. You will lead a world-class data engineering practice, shape up technical strategy and data architecture, and develop data products to enable reporting, analytics, data science, machine learning, and AI workloads.
As the data domain specialist, you will partner with IT, data platform, product engineering, analytics teams and data scientists to support multiple programs. This is a remote position and will report to the Head of Engineering.
Qualifications:

On your first day, we'll expect you to have:<ul><li>
15+ years of experience in building and scaling data teams with a focus on data strategy, infrastructure planning, architecture, and data products</li><li>
10+ years of experience leading data engineering teams, experience managing managers of managers, and experience scaling organizations with over 20+ engineers across geographies</li><li>
10+ Years of experience delivering data and analytics solutions for product teams</li><li>
Product sense with an understanding of product drivers and of how to guide value using data across the organization</li><li>
Demonstrated experience developing influential relationships and trust with senior leaders across different departments</li><li>
Prior experience partnering with Analytics , Data Science, Engineering and Product Management teams</li><li>
Experience building Microservices and RESTful APIs</li><li>
Experience implementing DevOps best practices within the data platform, including solutions for CI/CD, data observability, monitoring, and lineage</li><li>
Experience with BI tools like Tableau, Amplitude, and Redash</li><li>
A graduate degree in Computer Science or a similar subject area</li></ul>
It's great but not required if you have:<ul><li>
Experience working for SAAS companies</li><li>
Experience with Machine Learning</li><li>
Committed code to open source projects</li></ul>
Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $234,000 - $305,500
Zone B: $210,600 - $274,950
Zone C: $194,400 - $253,800
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
Benefits &amp; Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.</div>

Head of Data Engineering

Chalk

<div>
 
 
 
 About Chalk
 
 
 
 
 
 
 
 Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. We've recently raised a
 
 $50 million Series A
 
 , led by Felicis.
 
 
 
 
 
 
 
 About the role
 
 
 
 
 
 
 
 We are hiring Software Engineers to join our team. This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership.
 
 
 
 
 
 
 We work in-person Monday through Friday in our SF and NY offices. We don&rsquo;t currently offer remote or hybrid positions.
 
 
 
 
 
 
 We are looking for software engineers who are comfortable solving business problems across all layers of the software stack. At Chalk, we build reliable data processing systems that can operate performantly at scale with a laser-focus on developer experience.
 
 
 
 
 
 We need engineers who can build world-class user experiences across CLI and web surfaces, while also understanding and contributing to a codebase that contains ideas from compilers, query planners, and distributed systems.
 
 
 
 
 
 
 
 What you will do
 
 
 
 
 
 
 <ul>
 <li>
 Work directly with Chalk&rsquo;s co-founders to productionize our first iteration
 </li>
 <li>
 Write TypeScript, Python, Go, and React
 </li>
 <li>
 Expose the functionality of our core platform to data scientist and machine learning end-users in their home environments
 </li>
 <li>
 Iterate rapidly to improve Chalk&rsquo;s platform in response to customer needs
 </li>
 </ul>
 
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 
 
 
 
 <ul>
 <li>
 2+ years experience of professional software engineering experience
 </li>
 <li>
 Working knowledge of computer science fundamentals. We&rsquo;re not looking for experience from drilling leet code &ndash; we need folks who are comfortable building and maintaining real systems
 </li>
 <li>
 A record of developing sophisticated user-facing applications that are pleasant to use
 </li>
 <li>
 An eye for high-quality UX
 </li>
 <li>
 Track record of learning new concepts quickly
 </li>
 <li>
 Ability to work autonomously &amp; to make pragmatic tradeoffs with an eye towards business outcomes
 </li>
 <li>
 Strong communication skills
 </li>
 </ul>
 
 
 
 
 
 
 Bonus points
 
 
 
 
 
 
 <ul>
 <li>
 Experience implementing data infrastructure
 </li>
 <li>
 Experience working with developer tools
 </li>
 <li>
 Experience with applied machine learning or data analytics
 </li>
 <li>
 Experience with Go
 </li>
 </ul>
 
 
 
 
 
 
 Benefits
 
 
 
 
 
 
 
 ⚕️Comprehensive medical, dental, and vision insurance
 
 
 🏦 Flexible Spending Account (FSA), Health Savings Account (HSA)
 
 
 🦮 Expert Healthcare Guidance
 
 
 💵 Retirement savings
 
 
 🎄15 company holidays each year
 
 
 🏖️15 days of personal time off each year
 
 
 🚌 Flex Commuter Benefits
 
 
 🌮 Daily lunch and dinner on Chalk
 
 
 🥤Office is fully-stocked with drinks and snacks to fuel your work day.
 
 
 🍽️ Staying late? Dinner is on us
 
 
 🚖 Staying even later? Grab an Uber / Lyft home on Chalk
 
 
 
 
 
 
 
 Compensation
 
 
 
 
 
 
 
 Chalk offers early team members a generous salary + equity package based on experience and competitive benefits.
 
 
 
 
 
 Actual compensation awarded to successful candidates will be based on several factors, including market, location, scope of the position and individual qualifications objectively assessed during the interview process.
 
 
 
 
 
 Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk&rsquo;s growth and us achieving our goals.
 
 
 
 
 
 
 
 Inclusivity
 
 
 
 
 
 
 
 Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support.
 
</div>

Full Stack Software Engineer

Integral Ad Science

<div>Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry and we&rsquo;re looking for a Staff Machine Learning Engineer for our Data Science Team. If you are excited by technology that has the power to handle hundreds of thousands of transactions per second; collect tens of billions of events each day; and evaluate thousands of data points in real-time all while responding in just a few milliseconds, then IAS is the place for you!

As a Staff Machine Learning Engineer at IAS, you will be part of a team that is at the center of innovation for the company and a major contributor to our core products. You will be responsible for overseeing a sophisticated suite of data science systems making large scale business predictions in advertising inventory across open web, social networks, video/CTV, and mobile apps. As part of the data science group at IAS, you will push the boundaries of applications of machine learning (ML) and deliver best-in-class solutions for our clients. Innovation is at the heart of our competitive advantage, and innovation starts with people and culture. You will manage a group of data scientists and cultivate innovation in their work, developing high performing talent, ultimately producing a lasting impact on the IAS business.

The types of challenges we solve have attracted people from industry and academia with diverse backgrounds, ranging from ML, mathematics, physics, biology, neuroscience, and computer science to finance and economics. We&rsquo;re passionate about maintaining an open and collaborative environment, where team members bring their own unique style of thinking and tools to the table.

What you&rsquo;ll get to do:
<ul>
<li>Build large-scale deep learning infrastructure or platforms for distributed model training</li>
<li>Build large-scale distributed systems with tools such as Kubernetes, Kafka, Prometheus, etc.</li>
<li>Develop deep learning frameworks</li>
<li>Drive system design for our AI/ML-based services.</li>
<li>Design, develop and support our CI/CD pipeline for AI/ML-based services.</li>
</ul>
You should apply if you have most of this experience:
<ul>
<li>PhD/Master&rsquo;s degree in technical field such as computer science, mathematics, statistics or equivalent years of experience</li>
<li>7-10+ years machine learning experience in industry</li>
<li>Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks</li>
<li>Experience building large-scale deep learning infrastructure or platforms for distributed model training</li>
<li>Experience with large-scale AI training infra components, such as accelerators, network fabrics, CUDA, NCCL, RDMA</li>
<li>Strong programming skills in Python or Go; understanding of data structures, software design principles, and algorithms</li>
</ul><ul><li>Experience working with machine learning, ranking infrastructures, and system design</li>
<li>Strong understanding of machine learning approaches and algorithms</li>
<li>Able to prioritize duties and work well on your own</li>
<li>Ability to work with both internal and external partners</li>
<li>Skilled at solving open ambiguous problems</li>
<li>Strong collaboration and mentorship skills

California Applicants: The salary range for this position is $150,900 - $200,400. Actual pay may vary based on experience or geographic location.
</li>
</ul>About Integral Ad Science

Integral Ad Science (IAS) is a global leader in digital media quality. IAS makes every impression count, ensuring that ads are viewable by real people, in safe and suitable environments, activating contextual targeting, and driving supply path optimization.

Our mission is to be the global benchmark for trust and transparency in digital media quality for the world&rsquo;s leading brands, publishers, and platforms. We do this through data-driven technologies with actionable real-time signals and insight. Founded in 2009 and headquartered in New York, IAS works with thousands of top advertisers and premium publishers worldwide. 


Equal Opportunity Employer:

IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.

California Applicant Pre-Collection Notice:

We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at compliance@integralads.com. 


Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership.

#LI-Hybrid</div>

Staff Machine Learning Engineer

Bright Machines

<div><div>RETHINK MANUFACTURING</div><div></div><div> 
The only way to ignite change is to build the best team. At Bright Machines&reg;, we&rsquo;re innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers&rsquo; unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next.</div><div></div><div> 
Working with us means you&rsquo;ll have the opportunity to make lasting, impactful changes for our company and our customers. If you&rsquo;re ready to apply your exceptional skills to create the factory of the future, we&rsquo;d love to speak with you.</div><div></div><div> 
ABOUT THE ROLE</div><div>
Bright Machines is on a mission to transform how electronics are made&mdash;bringing intelligence, scalability, and flexibility to the factory floor. We combine the best of automation, machine learning, and software to modernize manufacturing from the ground up.</div><div></div><div> 
We are seeking a passionate and experienced Electrical Design Engineer on contract basis to join our team at Bright Machines. This is an exciting opportunity to work on cutting-edge robotic automation systems that are transforming modern manufacturing. In this role, you&rsquo;ll partner with talented colleagues across engineering and project management, gaining exposure to a wide range of disciplines while contributing directly to groundbreaking solutions for our clients.</div>
<h3 class="jobSectionHeader">WHAT YOU WILL BE DOING</h3><ul><li>
Collaborate with project teams to define system requirements and specifications.</li><li>
Integrate BM various hardware and software components into cohesive and functional systems.</li><li>
Create PFMEA, process flow and value stream maps (where required) and work with the design team to resolve all failure mode points within the design</li><li>
Develop and execute test plans to ensure system functionality and reliability.</li><li>
Ensure through each phase gate that all design metrics are being challenged and met</li><li>
Clearly define solution requirements, own &lsquo;the product&rsquo; of the overall automation solution (and sub systems), and drive it to success through the entire project lifecycle in partnership with program management and engineering</li><li>
Electrical requirements, design, drawings and block diagrams.</li><li>
Travel up to 10%, primarily domestically</li></ul><h3 class="jobSectionHeader">
WHAT WE WANT TO SEE</h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Electrical Engineering or a combination of specialized electrical engineering training</li><li>
At least 3+ years of electrical engineering experience, ideally with automation and lean engineering involvement
</li><li>Hands-on engineer with strong technical skills, execution capabilities, systems perspective, and a collaborative, process-oriented mindset</li><li>
Proficient in designing machine electrical systems using SolidWorks Electrical, AutoCAD, or equivalent software</li><li>
Skilled in designing AC/DC and control cabinets, selecting components, and integrating systems from concept to completion</li><li>
Familiar with industrial automation equipment, including motion drivers, sensors, barcode readers, PLCs, VFDs, servos, and robots</li><li>
Able to collaborate with third-party vendors to specify and design subsystems meeting project requirements</li><li>
Experience creating, maintaining, and releasing BOMs for production</li><li>
Strong communication skills and ability to collaborate with suppliers, system architects, design engineers, technical program managers, and senior management</li><li>
Knowledge of UL508A &amp; CE</li></ul><h3 class="jobSectionHeader">
IT WOULD BE GREAT IF YOU HAD</h3><ul><li>
Familiarity with vision systems.</li><li>
Experience working with industrial robots.</li><li>
Technical Sales or Quoting experience responding to RFQs and SOWs</li><li>
Experience developing functional safety systems and circuits for automation</li><li>
Self-motivated learner with proven adaptability and growth mindset</li></ul><div>
BE EMPOWERED TO CHANGE AN INDUSTRY</div><div></div><div> 
Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market.</div><div></div><div> 
Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes&rsquo; AI 50, awarded &ldquo;Best AI-based Solution for Manufacturing&rdquo; by AI Breakthrough, named a &ldquo;Technology Pioneer&rdquo; by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.</div></div><div></div>

Electrical Design Engineer - Automation (Contract with Immediate Start)

Swiftlane

<div>
 
 About Swiftlane
 
 
 
 Swiftlane is an early stage, VC funded startup based out of San Francisco. We are a strong team of over 30 members, working on creating a very unique and modern experience for building security. Swiftlane provides the ability to open doors using just face recognition. Swiftlane&rsquo;s products allow visitors to start two video intercoms from a door, to a person and remotely unlock doors. It&rsquo;s designed to modernize the access control experience for offices and large apartment buildings. Our founding team built many great experiences at companies like Facebook, Instagram, and Lyft Self driving team.
 
 
 Job Description | Software Engineer: Backend
 
 
 
 What You Would Do
 
 
 
 Are you interested in working on an early stage startup in San Francisco, with a team of strong talented engineers in a fast paced environment? Every day you would get to make key technical decisions and design and implement complex systems from scratch. Here are some examples of projects you would work on:
 
 
 <ul>
 <li>
 Design, build, and maintain APIs, web socket based applications, services, and systems
 </li>
 <li>
 A system developed in Python backend, React, Google Cloud with modern Kubernetes based stack
 </li>
 <li>
 Implement APIs and microservices in Python
 </li>
 <li>
 Deploying services on Google Cloud
 </li>
 <li>
 Work with a strong engineering team
 </li>
 <li>
 Learn how to deploy deep learning systems in production
 </li>
 <li>
 Implement complex services that involves message queues and large scale data processing
 </li>
 <li>
 Design and implement machine learning training systems
 </li>
 <li>
 Develop high performance ML inference services and APIs
 </li>
 <li>
 Build API integrations with third party APIs
 </li>
 <li>
 Debug production issues across services and multiple levels of the stack
 </li>
 <li>
 Work with engineers across the company to build new features at large-scale
 </li>
 <li>
 Improve engineering standards, tooling, and processes
 </li>
 <li>
 Maintain CI / CD and reliability systems
 </li>
 <li>
 Write tensorflow models and help data scientists be productive with training their models
 </li>
 <li>
 Setting up infrastructure using Kubernetes, Helm, Terraform and Packer
 
 
 </li>
 </ul>
 
 Required Technical Skills
 
 
 
 <ul>
 <li>
 Strong software engineering experience
 </li>
 <li>
 Experience developing cloud based applications in AWS or Google Cloud
 </li>
 <li>
 Experience developing in Python
 </li>
 <li>
 Knowledge of system design, high quality code and writing well tested code
 </li>
 <li>
 Experience in Javascript, Java or Go is a plus.
 </li>
 <li>
 Experience using containers and orchestration using Kubernetes is a plus.
 </li>
 <li>
 Understanding of cloud and web security is essential to succeed in this role
 </li>
 <li>
 Experience building highly scalable systems and ability to design and implement complex system architecture
 </li>
 <li>
 Ability to move fast and deliver on your project to completion and iterate
 </li>
 <li>
 Expertise writing software in more than one programming language and ability to pick up new languages
 </li>
 <li>
 Strong infra experience using AWS or Google cloud
 </li>
 <li>
 Ability to write well tested code
 </li>
 <li>
 Understanding of github and git based workflow
 </li>
 <li>
 Experience in building machine learning / deep learning models or platform is a strong added bonus
 
 
 </li>
 </ul>
 
 Non Technical Skills
 
 
 
 High sense of ownership and desire to build an incredible product.
 
 
 Ability to communicate and articulate effectively in English with team members across the globe. We look for effectiveness around written and verbal communication, and less about how fast you can speak.
 
 
 It&rsquo;s important that you take initiative to make things better, constantly improving the code base as well as overall system reliability.
 
 
 It&rsquo;s important that you are looking to have a personal impact through your work, inside the company.
 
 
 Interested and flexibility to work as a remote engineer. Open to working with PST time zone overlap.
 
 
 Apply
 
 
 
 To apply for this position, send an email to contact@swiftlane.com with the link to this job posting and a little information about yourself. We look forward to talking with you!
 
</div>

Software Engineer: Backend

Explore 155+ Data engineer in San Francisco this September. Find roles across top companies and apply now to boost your career.