software engineer

full stack software engineer Jobs in San Francisco

full stack software engineer

software engineer - all levels Jobs in San Francisco

software engineer - all levels

software engineer i, frontend Jobs in San Francisco

software engineer i, frontend

software engineer, backend, level 4 Jobs in San Francisco

software engineer, backend, level 4

software engineer ii

The Walt Disney Company

<div>
 
 Disney Entertainment &amp; ESPN Technology
 
 
 
 On any given day at Disney Entertainment &amp; ESPN Technology, we&rsquo;re reimagining ways to create magical viewing experiences for the world&rsquo;s most beloved stories while also transforming Disney&rsquo;s media business for the future. Whether that&rsquo;s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney&rsquo;s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.
 
 
 A few reasons why we think you&rsquo;d love working here:
 
 
 <ul>
 <li>
 Building the future of Disney&rsquo;s media business: DE&amp;E Technologists are designing and building the infrastructure that will power Disney&rsquo;s media, advertising, and distribution businesses for years to come.
 </li>
 <li>
 Reach &amp; Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day &ndash; from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
 </li>
 <li>
 Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment &amp; news.
 
 
 </li>
 </ul>
 
 Product Engineering
 
 
 
 <ul>
 <li>
 Product Engineering is a unified team responsible for the engineering of Disney Entertainment &amp; ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity.
 
 
 </li>
 </ul>
 
 Partner Experience Engineering
 
 
 
 Partner Experience is an innovative organization that is focused on providing tools and workflows to support our most valuable partners to integrate Disney&rsquo;s streaming services on hardware devices all over the world. This strategic work requires streamlining partner-facing technology allowing us to scale up partners and their ability to offer our latest features and bundles to their customers.
 
 
 We are looking for an experienced backend services focused Software Engineer to join the Partner Experience Engineering team. Your success will depend on your ability to partner with cross-functional teams across the organization to deliver performant services critical to delivering high quality &amp; timely experiences to partners. We are responsible for the timely and efficient management of an integration platform accessed by all regions spanning the globe. Our mission is to invent, design, build, deploy, monitor, support tooling &amp; services powering initiatives and operations needed for global partner integrations of entertainment experiences. If you have an interest in streaming or want to be a part of a fast-paced &amp; global-scale engineering opportunity, this role is for you!
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work with a team of engineers to build high-performance, stable, scalable systems to be deployed in an enterprise setting
 </li>
 <li>
 Talk to business partners to understand and refine requirements
 </li>
 <li>
 Participate in architecture discussions and planning sessions; author and share feedback on technical proposals and root cause analyses
 </li>
 <li>
 Participate in the on-call rotation, supporting systems and services during production incidents
 </li>
 <li>
 Write sustainable and reliable code with self documenting and unit testing best practices.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Software Engineering, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
 </li>
 <li>
 Minimum of 3 years related experience crafting backend architectures and delivering backend applications in a production environment.
 </li>
 <li>
 Knowledge of AGILE/Scrum practices.
 </li>
 <li>
 Strong written and verbal communication skills.
 </li>
 <li>
 Self-learner, independent, excellent problem-solving skills
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in functional programming patterns and experience building RESTful services (Scala or Java APIs)
 </li>
 <li>
 Understanding of async programming models (events, callbacks, promises, async/await) and threading/concurrency
 </li>
 <li>
 Understanding of source control concepts and systems, CI/CD pipelines and exposure to Git
 </li>
 <li>
 Experience with build and deployment technologies such as Jenkins and Docker. Experience with messaging technologies (e.g., Kafka, Kinesis, SQS, etc.)
 </li>
 <li>
 Strong grasp of computer science fundamentals (data structures, algorithms, databases, etc.) and strong understanding of design patterns and principles
 </li>
 <li>
 Experience operating within a Public Cloud Provider (e.g., AWS, Microsoft Azure, Google Cloud)
 </li>
 <li>
 Experience with observability tools for metrics, logging, and monitoring (e.g., Datadog, Splunk, Grafana)
 </li>
 <li>
 Experience with storage &amp; caching technologies: S3, S3 Compatible on-prem object storage, DynamoDB, RDBMS, Redis
 
 
 </li>
 </ul>
 #DISNEYTECH
 
 
 The hiring range for this position in New York, NY is $123,000 to $165,000 per year, and in San Francisco is $128,700 to $172,500 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate&rsquo;s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
</div>

Software Engineer II

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.
Responsibilities:

Responsibilities 
As a Senior Data Engineer in the Corporate Data Engineering team, you will have the opportunity to apply your strong technical experience building highly reliable data products. You enjoy working in an agile environment. You are able to take vague requirements and transform them into solid solutions. You are motivated by solving challenging problems, where creativity is as crucial as your ability to write code and test cases. 
On a typical day you will help our partner teams ingest data faster into our data lake, you&rsquo;ll find ways to make our data products more efficient, or come up with ideas to help build self-serve data engineering within the company. Then you will build architect , design, and promote self serve capabilities at scale to help Atlassian grow.
Qualifications 
On your first day, we'll expect you to have:<ul><li>
At least 7+ years of professional experience as a software engineer or data engineer</li><li>
A BS in Computer Science or equivalent experience</li><li>
Strong programming skills (some combination of Python, Java, and Scala)</li><li>
Experience writing SQL, structuring data, and data storage practices</li><li>
Experience with data modeling</li><li>
Knowledge of data warehousing concepts</li><li>
Experienced building data pipelines and micro services</li><li>
Experience with Spark, Airflow and other streaming technologies to process incredible volumes of streaming data</li><li>
A willingness to accept failure, learn and try again</li><li>
An open mind to try solutions that may seem impossible at first</li><li>
Experience working on Amazon Web Services (in particular using EMR, Kinesis, RDS, S3, SQS and the like)</li></ul>
It's preferred, but not technically required, that you have:<ul><li>
Experience building self-service tooling and platforms</li><li>
Built and designed Kappa architecture platforms</li><li>
A passion for building and running continuous integration pipelines.</li><li>
Built pipelines using Databricks and well versed with their API&rsquo;s</li><li>
Contributed to open source projects (Ex: Operators in Airflow)</li></ul>
Qualifications:

Qualifications 
On your first day, we'll expect you to have:<ul><li>
At least 7+ years of professional experience as a software engineer or data engineer</li><li>
A BS in Computer Science or equivalent experience</li><li>
Strong programming skills (some combination of Python, Java, and Scala)</li><li>
Experience writing SQL, structuring data, and data storage practices</li><li>
Experience with data modeling</li><li>
Knowledge of data warehousing concepts</li><li>
Experienced building data pipelines and micro services</li><li>
Experience with Spark, Airflow and other streaming technologies to process incredible volumes of streaming data</li><li>
A willingness to accept failure, learn and try again</li><li>
An open mind to try solutions that may seem impossible at first</li><li>
Experience working on Amazon Web Services (in particular using EMR, Kinesis, RDS, S3, SQS and the like)</li></ul>
It's preferred, but not technically required, that you have:<ul><li>
Experience building self-service tooling and platforms</li><li>
Built and designed Kappa architecture platforms</li><li>
A passion for building and running continuous integration pipelines.</li><li>
Built pipelines using Databricks and well versed with their API&rsquo;s</li><li>
Contributed to open source projects (Ex: Operators in Airflow)</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: $175,500 - $229,125
Zone B: $158,400 - $206,800
Zone C: $145,800 - $190,350
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>

Sr Data Engineer

Delty (YC X25)

<div>
 
 About Us
 
 
 
 
 Delty is building the world&rsquo;s first &ldquo;AI Staff Engineer.&rdquo;
 
 Unlike typical code-generation tools, Delty is trained on a team&rsquo;s codebase, documentation, and system history &mdash; giving it a system-level understanding of architecture, conventions, and constraints. Delty helps engineering teams design enterprise-scale software systems, make architectural decisions, and enable AI coding agents to work with real system context.
 
 
 Delty was founded by former engineering leaders from
 
 Google, including co-founders with deep experience at YouTube and in large-scale infrastructure
 
 . You&rsquo;ll get to work alongside people who built massive systems at scale &mdash; a chance to learn a
 
 lot
 
 and contribute meaningfully from day one.
 
 
 We believe in solving hard problems together as a team, iterating quickly, and building software with long-term thinking and ownership.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Work full-stack: design and build features spanning front-end, back-end, data storage and processing.
 </li>
 <li>
 Build new product modules and services from scratch &mdash; or evolve existing ones &mdash; guided by context-aware system design.
 </li>
 <li>
 Work with AI and machine learning: integrate large-language models (LLMs), process large or long-form text data, apply traditional ML (e.g. regression, data pipelines), and build tooling around AI-driven flows.
 </li>
 <li>
 Make architectural decisions &mdash; choose frameworks, data models, APIs, storage solutions &mdash; balancing trade-offs between performance, scalability, maintainability, and complexity.
 </li>
 <li>
 Collaborate closely with co-founders and other engineers to translate product vision into a working, maintainable codebase.
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 At least 3 years of full-stack engineering experience, including substantial work with AI/ML.
 </li>
 <li>
 Strong skills across front-end, back-end, databases/data storage &mdash; and demonstrated ability to design end-to-end systems.
 </li>
 <li>
 Experience working with or integrating AI/ML &mdash; LLMs, data pipelines, long-form text processing, traditional ML like regression or statistical modeling.
 </li>
 <li>
 Good design sense and architectural thinking: you understand trade-offs (scalability vs complexity, speed vs maintainability) and can choose wisely based on constraints.
 </li>
 <li>
 Comfort working in a fast-paced startup-style environment: nimble, iterative, high ownership.
 </li>
 <li>
 Bonus: prior startup experience, or even having been a founder &mdash; we value entrepreneurial thinking, self-direction, and willingness to wear multiple hats.
 
 
 </li>
 </ul>
 Why join
 
 
 <ul>
 <li>
 Learn from seasoned Google engineers: As former Google engineers who built systems at YouTube and Google Pay, we&rsquo;ve operated at massive scale. Working alongside us gives you a chance to build similar systems and learn best practices, scale thinking, and software design deeply.
 </li>
 <li>
 High impact: At a small but ambitious team, your contributions will influence architecture, product direction, and core features. You will have real ownership and see the effects of your work quickly.
 </li>
 <li>
 Grow fast: We&rsquo;re iterating rapidly; you&rsquo;ll be exposed to the full stack, AI/ML pipelines, system architecture, data modeling, and product-level decisions &mdash; a fast-track to becoming a senior engineer or technical lead.
 </li>
 <li>
 Challenging and meaningful work: We&rsquo;re tackling the hardest part of software engineering: bridging AI-generated prototypes and robust, scalable enterprise-grade systems. If you enjoy thinking deeply about systems and building reliable, maintainable foundations &mdash; this is for you.
 </li>
 </ul>
</div>

Full stack software engineer

Workato

<div><div><h1 class="jobSectionHeader">About Workato</h1>

Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.

Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today's fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com.
<h1 class="jobSectionHeader">
Why join us?</h1>

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:
<ul>
<li>Business Insider named us an &quot;enterprise startup to bet your career on&quot;
</li>
<li>Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world
</li>
<li>Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
</li>
<li>Quartz ranked us the #1 best company for remote workers
</li>
</ul></div><h1 class="jobSectionHeader">Requirements</h1>

We are seeking a product-minded Principal Software Engineer to join our San Francisco team focused on building the next generation of developer products. This role is at the forefront of innovation, specifically creating tools and platforms for developers who are building LLM and Agentic applications. You will be instrumental in shaping the future of how developers interact with and build on top of Workato's ecosystem in the age of AI. You will collaborate closely with product, engineering, and developer relations teams to deliver robust, scalable, and intuitive services. This role requires a high technical bar, plus an emphasis on developer ergonomics, so we can deliver a delightful developer experience.
<ul>
<li>Design, build, and maintain robust, scalable, and high-quality developer-facing products and APIs for LLM and Agentic application development.</li>
<li>Collaborate closely with product managers, designers, developer relations and other engineers to translate developer needs and product requirements into elegant technical solutions.</li>
<li>Write clean, maintainable, and well-tested code, and contribute to a high standard of engineering excellence within the team.</li>
<li>Implement and improve validation, monitoring, and observability for ML services within the sandbox environment.</li>
<li>Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement.</li>
<li>Continuously evaluate and optimize existing implementations for performance, scalability, and developer usability.</li>
<li>Identify and resolve bottlenecks, bugs, and technical challenges in a fast-paced, iterative environment.</li>
<li>Conduct code reviews and mentor team members to uphold high engineering standards.</li>
<li>Stay at the cutting edge of AI, LLMs, and developer tooling, bringing new ideas and technologies to the team.</li>
</ul><h1 class="jobSectionHeader">Requirements</h1>
<h4 class="jobSectionHeader">Qualifications / Experience / Technical Skills</h4>
<ul><li>Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or equivalent industry experience.</li>
<li>10+ years of experience of professional software development experience, with a proven track record of shipping high-quality products.</li>
<li>You are a product-minded engineer who thinks deeply about the end-user. You have strong opinions about what makes a great developer experience.</li>
<li>You have experience building developer-facing products, APIs, SDKs, or CLIs.</li>
<li>You are proficient in one or more modern programming languages such as Go, Python, Ruby, or JavaScript and hands-on experience with LLM models.</li>
<li>Proven track record of deploying and maintaining ML services in production environments is a strong plus.</li>
<li>Solid understanding of API design, developer tooling, software architecture, data structures, and algorithms.</li>
<li>LLMops/MLops experience is a strong plus, especially in developer-facing products.</li>
<li>Experience building or supporting developer platforms, APIs, or sandbox environments is highly desirable.</li>
</ul><h4 class="jobSectionHeader">Soft Skills / Personal Characteristics</h4>
<ul><li>Excellent written and verbal communication skills in English.</li>
<li>Collaborative team player with a passion for empowering developers and improving developer experience.</li>
<li>Adaptable, proactive, and creative&mdash;comfortable working in a dynamic, startup-like environment.</li>
<li>Strong problem-solving skills and a continuous improvement mindset.</li>
</ul>
Join us in San Francisco and help shape the future of developer innovation with AI-powered sandbox experiences!
<h4 class="jobSectionHeader">
(REQ ID: 2243)</h4></div>

Principal Software Engineer - Developer Products (AI)

Tact

<div>
 
 Software Engineer- AI - LA - $250K base + early equity
 
 
 
 
 
 ⚡ Want to be one of the first engineers shaping a product, stack, and culture from the ground up?
 
 
 
 
 
 I&rsquo;m working with an early-stage, technically-driven startup that&rsquo;s doing something pretty wild, building autonomous AI systems that can run full end-to-end loops, detect issues, test ideas, and resolve problems on their own. It&rsquo;s one of those &ldquo;this shouldn&rsquo;t exist yet&rdquo; kinds of projects.
 
 
 
 
 
 They&rsquo;re tiny right now, and the founders are extremely technical (deep backgrounds across AI, security, and distributed systems). The vibe is more cutting-edge-research than corporate. Super hands-on, big ownership, and huge problems to tackle.
 
 
 
 
 
 
 You&rsquo;d be:
 
 
 
 &bull; Building generative AI agents that autonomously identify and test issues
 
 
 &bull; Designing backend + inference systems for large models
 
 
 &bull; Working with LLMs, agent frameworks, reasoning loops, memory systems
 
 
 &bull; Deploying to real customer environments and seeing impact fast
 
 
 
 
 
 
 They&rsquo;re looking for someone who:
 
 
 
 &bull; Is excellent with Python + backend fundamentals
 
 
 &bull; Has hands-on experience with LLMs or AI systems
 
 
 &bull; Understands API design and databases (esp. Postgres)
 
 
 &bull; Knows how to design reliable backend architecture
 
 
 &bull; Likes small teams, high ownership, and fast iteration
 
 
 
 
 
 
 Perks &amp; culture:
 
 
 
 &bull; $250K + early equity
 
 
 &bull; Unlimited PTO + full health coverage
 
 
 &bull; Premium gym membership fully covered
 
 
 &bull; Team lunches/dinners, collaborative environment
 
 
 
 
 
 They&rsquo;re at a super exciting stage just after seed, validating their AI platform ahead of the next raise. If you like building things that feel slightly impossible&hellip; this is worth a conversation.
 
 
 
</div>

Software Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Amazon&rsquo;s Device Design Team imagines the future of software and hardware experiences, powered by Alexa. Join the team behind the Echo Family of Devices, Fire TV, Fire Tablets, and more. We&rsquo;re just getting started, and we&rsquo;d love to have you join us to bring innovative experiences to millions of customers.
 
 
As a member of the Design Engineering team, you&rsquo;ll support the design studio with your deep technical knowledge and experience working on world-class consumer software experiences. You&rsquo;ll help your peers unlock technically challenging scenarios and mature the design studio&rsquo;s ability to deliver design at scale, across a breadth of device categories. 
 
As an experienced Front End Engineer, you will design, build and operate Web services and tooling to advance design methodology and delivery. You&rsquo;ll interface with teams across a range of product lines and disciplines. Surrounded by world-class talent, and building on a pure AWS infrastructure, you will translate user requirements, drive an evolving architecture, help define our roadmap, and individually contribute code. 
 
This role requires ownership, autonomy, and an ability to deliver results, often within the ambiguity of building a v1 product. You will need to work efficiently to build the right things with limited guidance, and your experience will raise the bar to create an amazing experience for our customers. 
 
About the team 
The Design team empowers Amazon's Devices and Services business through the discipline of software engineering in three key areas: software and hardware prototyping; studio tools, utilities, and infrastructure; and front-end engineering in shipping codebases. Front End Engineering strategically engages directly with partner engineering teams to translate design systems to scalable component libraries, build signature product moments to meet design intent, and advance platform capabilities and maturity.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience</li><li>5+ years of front-end developer creating prototypes or wire-frames for enterprise web applications or workflows experience</li><li>Experience developing with MVC/MVM frameworks (e.g. React.JS, AngularJS, Vue)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AI/ML technologies</li><li>Experience in a broad range of software design approaches and common UX patterns.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,700/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Front End Engineer, Device Design Team

Dymenso LLC

DYMENSO is a fast-paced, innovative company located in San Francisco. Dymenso LLC engineers and manufactures vacuum electronic devices for science and energy applications, delivering transformative solutions to compelling problems in energy and security. Our projects build on an extensive technology portfolio ranging from ultra-high precision mechanical alignment techniques to advanced manufacturing processes. Operating out of San Francisco, California, and equipped with latest simulation tools and high-end manufacturing machines, Dymenso supplies highly engineered vacuum electronics devices to customers worldwide.The Role:Position available open to Mechanical Engineer with creative and analytical mind. Requires strong mechanical problem-solving skills and an aptitude for developing quality engineering solutions. The position requires a dynamic and multifunction individual who is knowledgeable of full-cycle engineering/manufacturing processes. He/she will work together in a team, engineering the products and be the overall liaison between the in-house manufacturing team. This person should have general engineering expertise and be open to collaborate in a team environment.Requirements:<ul><li>Master&rsquo;s degree in Mechanical Engineering, or equivalent</li><li>Strong analytical skills</li><li>2-7 years of related work experience</li><li>Proficient in SolidWorks</li></ul>Preferred Qualifications:<ul><li>Precision engineering and manufacturing experience</li><li>Solid understanding of vacuum components, material properties and machine design</li><li>Thermal analysis experience</li><li>Structural analysis experience</li><li>Knowledge of Finite Element Analysis (FEA) preferably with ANSYS software experience</li><li>CFD analysis experience (ANSYS Fluent preferred)</li><li>Manufacturing experience and knowledge of CAM tools</li><li>Skilled in documenting activities and maintaining records</li><li>Good understanding of standards and geometric tolerancing</li><li>Ability to manage time, resources and vendors</li><li>Strong verbal and written communication skills, including technical report writing</li></ul>Personal Attributes:<ul><li>Detail oriented, creative and self-motivated</li><li>Capable of working independently in a small and innovative company environment</li><li>Good communication and team working skills</li><li>Comfortable working in a rapid pace environment, and handling multiple projects, simultaneously</li></ul>Job Type: Full-timePay: $85,000.00 - $135,000.00 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li></ul>Work Location: In person

Mechanical Engineer

Explore 73+ Software engineer ii in San Francisco this December. Find roles across top companies and apply now to boost your career.