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junior software engineer Jobs in San Francisco

junior software engineer

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automation hardware & software integration engineer Jobs in San Francisco

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machine learning engineer

Zendesk

<div><h2 class="jobSectionHeader">Job Description
</h2>Role: Machine Learning Engineer
TBH#:
Location: US 
 
Zendesk&rsquo;s people have one goal in mind: to make Customer Experience better. 
 
The Enterprise Machine Learning team drives organizational value through scalable ML solutions and data-driven insights, fundamentally changing how business decisions are made. We collaborate closely with stakeholders, applying the latest advances in machine learning, deep learning, and large language models (LLMs) to create highly impactful outcomes. Our commitment is to advance the state of AI, statistical modeling, and robust system design to enhance and expand our core business capabilities.
<h3 class="jobSectionHeader">Role Overview
</h3>As a Machine Learning Engineer, you will serve as a technical and strategic member within the team, driving the development and deployment of advanced data science and machine learning solutions&mdash;particularly those harnessing LLMs and deep learning. You will architect and scale ML systems, foster effective cross-functional collaborations, and ensure that business value is embedded in every technical decision. Your business acumen allows you to translate complex analytical approaches into actionable insights and stakeholder-friendly narratives, strengthening partnership and adoption across the enterprise.
<h3 class="jobSectionHeader">Key Responsibilities
</h3><ul><li>Drive the design, development, and deployment of advanced ML and AI solutions, with an emphasis on large language models (LLMs), deep learning architectures, and sophisticated statistical modeling.
</li><li>Build scalable, robust data science systems&mdash;from data ingestion, data curation, data modeling to algorithm development, model deployment and monitoring&mdash;meeting enterprise-grade performance, reliability, and compliance standards.
</li><li>Act as a subject matter expert, collaborating with data scientists, ML engineers, analysts, and business stakeholders to understand needs, define requirements, and deliver practical solutions with measurable business impact.
</li><li>Effectively articulate complex technical concepts to non-technical partners, bridging gaps between technical teams and business operations for maximum results.
</li><li>Drive adoption of best practices in MLOps, including CI/CD pipelines, containerization, orchestration, observability, and reproducibility.
</li><li>Oversee and enhance the integrity, security, and compliance of all data science workflows and contracts.
</li><li>Stay abreast of the latest industry advancements in ML, LLMs, deep learning, cloud data engineering, and MLOps solutions (AWS, Kubernetes, Snowflake, etc.).
</li><li>Fostering technical excellence and ensuring alignment with business objectives.
</li></ul><h3 class="jobSectionHeader">What We&rsquo;re Looking For
</h3><ul><li>Education &amp; Experience:
<ul><li>3+ years&rsquo; experience in Data Science, Machine Learning, or a related field
</li><li>BA/BS in Computer Science, Data Science, or related discipline (advanced degree is highly preferred)
</li></ul></li><li>Technical Expertise:
<ul><li>Deep expertise in statistical modeling, machine learning, and deep learning (including practical experience with LLMs and transformers)
</li><li>Strong programming skills (Python preferred; Java, Scala, or similar also valued)
</li><li>Proven ability to build and optimize scalable data science solutions&mdash;end-to-end&mdash;from data pipelines (dbt, Astronomer, Snowflake, AWS) to deployment and monitoring (Docker, Kubernetes, CI/CD, MLOps best practices)
</li><li>Experience handling and analyzing large datasets, with a preference for experience in cloud data warehouses (Snowflake)
</li></ul></li><li>Business Acumen:
<ul><li>Demonstrated success in translating business needs into analytical solutions, driving quantifiable impact
</li><li>Strong stakeholder engagement skills, with a track record of building trusted business partnerships and driving adoption of data science initiatives
</li></ul></li><li>Communication &amp; Collaboration:
<ul><li>Exceptional ability to simplify and communicate complex data science concepts to technical and non-technical audiences alike
</li><li>Experience working cross-functionally with engineers, analysts, and product leaders
</li><li>Steadfast commitment to continuous learning, collaboration, and fostering an inclusive, innovative team environment
</li></ul></li></ul><h3 class="jobSectionHeader">Why You&rsquo;ll Thrive Here
</h3><ul><li>Opportunity to develop and scale of LLM and deep learning solutions with real-world business impact
</li><li>An environment that values innovation, ownership, and professional growth
</li><li>The chance to work on high-visibility, high-impact projects at scale alongside a passionate multidisciplinary team 
</li></ul> 
 
Zendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America. Learn more at www.zendesk.com . 
 
Individuals seeking employment at Zendesk are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.
The US annualized base salary range for this position is $206,000.00-$308,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
The intelligent heart of customer experience
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.
Zendesk is an equal opportunity employer, and we&rsquo;re proud of our ongoing efforts to foster global diversity, equity, &amp; inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.</div>

Senior Machine Learning Engineer

Mechanize

Mechanize builds RL environments that teach AI models to perform real-world work. Our goal is to enable the full automation of the economy. We sell to the leading AI labs. Learn more at mechanize.work.Software engineers at Mechanize create RL environments to sell to the leading AI labs. You might be a good fit if you are about to graduate university, or have 0-2 years of experience as a software engineer and can code in python.No prior machine learning or AI experience is required.Read about how our interview process works here: https://www.mechanize.work/how-our-interview-process-works/Job Type: Full-timePay: $300,000.00 per yearWork Location: In person

Junior Software Engineer

Realign

<div>San Francisco, California 94016 Posted February 24th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Contract
Job Category: IT
Job Description
Role: Sr. AI/ML Engineer<ul><li> Experience &ndash; 10+ Years</li><li> Location - San Francisco, CA &ndash; LOCALS Only</li></ul><div>
Required Qualifications 
<ul><li>Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration.</li><li>Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms.</li><li>Experience deploying AI in regulated environments.</li><li>Hands-on architectural and engineering leadership capabilities.</li><li>Strong communication skills with VP/Senior Director stakeholders.</li></ul>
 Preferred Qualifications 
<ul><li>12+ years in AI/ML, data engineering, or digital transformation.</li><li>Prior experience leading enterprise AI programs.</li><li>Utility domain experience (wildfire, grid, operations).</li><li>Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001).</li></ul> 

Roles &amp; Responsibilities 
Role Overview 
Utilities are accelerating their enterprise AI adoption across Operations, Customer Experience, Wildfire Safety, Regulatory, and IT. The AI Lead will serve as the strategic driver for enterprise AI transformation&mdash;defining vision, governance, enterprise architecture, and leading delivery of high-impact GenAI and ML solutions.</div><div> 
Key Responsibilities 
<ul><li>Define the enterprise AI vision, roadmap, and operating model.</li><li>Identify and prioritize AI/ML/GenAI opportunities across business units.</li><li>Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&amp;A automation, and contact center assistants.</li><li>Establish AI governance, compliance, model risk management, and auditability frameworks.</li><li>Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops.</li><li>Mentor and guide data scientists, ML engineers, architects, and product owners.</li><li>Promote AI literacy, change management, and best practices across the enterprise.</li></ul></div>
Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

Sr. AI/ML Engineer-4

Okta

<div>Get to know Okta 
 
Okta is The World&rsquo;s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. 
 
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we&rsquo;re looking for lifelong learners and people who can make us better with their unique experiences. 
 
Join our team! We&rsquo;re building a world where Identity belongs to you.
Okta&rsquo;s Business Technology organization builds secure and intelligent internal platforms that power our global workforce. Our AI &amp; Automation team is delivering next-generation tools and experiences by integrating GenAI and intelligent automation into workflows across IT, HR, Finance, Sales, Marketing and Customer Support.

We focus on real-world applications: virtual agents, AI copilots, internal RAG services, and AI-augmented self-service portals &mdash; all with scale, governance, and user experience in mind.
<h3 class="jobSectionHeader">The Opportunity</h3>

As a Senior Software Engineer, Applied AI, you&rsquo;ll play a key role in building user-facing and backend systems that leverage GenAI to improve internal experiences and operations. This role requires strong full-stack engineering skills, with an emphasis on both AI integration and building intuitive, performant UIs that make AI accessible and useful to our internal customers.

You&rsquo;ll work closely with software engineers, product managers, and designers to build secure, intelligent tools for employees across Okta.
<h3 class="jobSectionHeader">What You&rsquo;ll Do</h3>
<ul><li>
Design and build end-to-end GenAI-powered applications, including web-based UIs, API services, and backend orchestration.
</li>
<li>Implement and integrate LLM-based experiences using frameworks like LangChain, LlamaIndex, and tools like OpenAI, Claude, or Gemini.
</li>
<li>Define, implement, and champion operational excellence standards (SLOs, observability, incident response frameworks) for all services deployed.
</li>
<li>Develop responsive, accessible, and modern frontend interfaces using frameworks like React or Vue &mdash; with a focus on usability, performance, and trust in AI outputs.
</li>
<li>Build and maintain a library of reusable frontend components and hooks that allow other business delivery teams to easily &quot;drop in&quot; GenAI capabilities into their own applications.
</li>
<li>Build and maintain retrieval-augmented generation (RAG) pipelines with vector search and embedding strategies (e.g., Pinecone, FAISS, Qdrant).
</li>
<li>Collaborate with designers and product managers to rapidly iterate on UX patterns for AI-powered experiences (e.g., prompt inputs, citations, summaries).
</li>
<li>Ensure security, privacy, observability, and test coverage across the full stack.
</li>
<li>Contribute to architecture decisions, engineering standards, and best practices for AI/automation systems.
</li>
<li>Partner with platform and infrastructure teams to ensure services scale reliably across the org.
</li>
</ul><h3 class="jobSectionHeader">What You&rsquo;ll Bring</h3>
<ul><li>
5&ndash;8 years of software engineering experience with full-stack development, including 2+ years of building AI/ML-driven applications.
</li>
<li>Strong Python development skills and 5+ years experience building cloud-based services using AWS, Docker, and RESTful APIs.
</li>
<li>2+ years of experience in frontend technologies like React, TypeScript, or Vue, and comfort working on UI/UX for internal tools or enterprise applications.
</li>
<li>Hands-on experience with LLM integration, RAG pipelines, prompt engineering, or orchestration frameworks like LangChain or LlamaIndex.
</li>
<li>Strong background in distributed systems, APIs, microservices, container orchestration (ECS/EKS), and cloud platforms (AWS/GCP/Azure).
</li>
<li>Familiarity with secure coding, authentication/authorization, and internal data governance best practices.
</li>
<li>Ability to collaborate across engineering, design, and product teams &mdash; with a strong sense of user empathy and technical ownership.
</li>
<li>Bonus: Exposure to design systems, AI evaluation tooling, or real-time application performance monitoring.
</li>
</ul><h3 class="jobSectionHeader">Why Join Okta</h3>
<ul><li>
Make AI Real: Design and build AI-powered apps used daily by Okta employees.
</li>
<li>Full-Stack Challenge: Tackle end-to-end problems &mdash; from LLM orchestration to intuitive UIs.
</li>
<li>Trusted Innovation: Join a team committed to security, ethics, and technical excellence in AI.
</li>
</ul>#LI-MK1

#LI-hybrid

P24739_3355024
The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $165,000&mdash;$247,000 USD
Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us. 
 
The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$147,000&mdash;$221,000 USD
What you can look forward to as a Full-Time Okta employee!
<ul><li>
Amazing Benefits</li>
<li>Making Social Impact</li>
<li>Developing Talent and Fostering Connection + Community at Okta</li>
</ul>
Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/. 
 
Some roles may require travel to one of our office locations for in-person onboarding.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
 
 
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. 
 
Notice for New York City Applicants &amp; Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please 
 
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.</div>
 <div></div><div><div><div><div><div><div>Okta
<div>The foundation for secure connections between people and technology</div>
</div></div></div><div>Okta is the leading independent provider of identity for the enterprise. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 7,000 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. More than 19,300 organizations, including JetBlue, Nordstrom, Slack, T-Mobile, Takeda, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers.</div></div></div></div><div></div>

Senior Software Engineer, Applied AI

Giga

<div>
 
 About Giga
 
 
 
 Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We&rsquo;re building the next generation of customer experience &mdash; real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world&rsquo;s largest enterprises.
 
 
 It&rsquo;s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.
 
 
 The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
 
 
 <ul>
 <li>
 Voice AI startup Giga raises $61M Series A
 </li>
 <li>
 DoorDash and Giga Partnership
 
 
 </li>
 </ul>
 Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
 
 
 
 The Role
 
 
 
 We're looking for new grad engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers.
 
 
 This is a role where you'll contribute to real problems from day one. We expect you to ramp up quickly, take ownership of your work, and operate with increasing independence as you learn the codebase.
 
 
 
 What You'll Work On
 
 
 
 You'll contribute to projects across our stack. Some examples:
 
 
 <ul>
 <li>
 Atlas: Building features for our AI assistant: charts and alerts in Slack, natural language queries, and expanding Atlas to manage platform resources
 </li>
 <li>
 Activity Stream: Log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior
 </li>
 <li>
 Dynamic knowledge: Adding time-based knowledge (like ongoing incidents) that auto-updates from sources like status pages
 </li>
 <li>
 Agent memory: Conversation awareness and recent interaction lookups so agents remember context across sessions
 
 
 </li>
 </ul>
 You'll be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.
 
 
 
 You Might Be a Fit If You
 
 
 
 <ul>
 <li>
 Are graduating (or recently graduated) with a CS degree or equivalent background
 </li>
 <li>
 Have internship experience or significant projects where you wrote production-quality code
 </li>
 <li>
 Can take a problem, figure out an approach, and unblock yourself when you get stuck
 </li>
 <li>
 Prefer shipping over perfection but still care about quality
 </li>
 <li>
 Want to work at a startup where you'll have real responsibility early
 
 
 </li>
 </ul>
 
 Perks &amp; Benefits
 
 
 
 <ul>
 <li>
 Catered lunch daily
 </li>
 <li>
 Dinner stipend
 </li>
 <li>
 $150/month wellness benefit (gym, fitness classes, mental health)
 </li>
 <li>
 401(k) plan
 </li>
 <li>
 Commuter benefits
 </li>
 <li>
 Medical, dental, and vision coverage
 
 
 </li>
 </ul>
 Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
 
 
 Compensation Range: $160K - $250K
 
 
</div>

Software Engineer (New Grads) - San Francisco

DOSU

<div>TL;DR: We&rsquo;re hiring junior software engineers who want to learn and build the latest AI breakthroughs at warp speed. As an early member, you&rsquo;ll have a unique opportunity to grow your skills and make a direct impact on our technology and culture, all while at a fast-growing startup in a career-defining role. You&rsquo;re willing to roll up your sleeves &mdash; no task is too small when it helps move the company forward.<h2 class="jobSectionHeader">
Requirements</h2><ul><li>
2+ years of experience in software development</li><li>
Experience incorporating Large Language Models (LLMs) in application development or internal workflows.</li><li>
Proficiency in at least one programming language such as Python, JavaScript/TypeScript, Go, or similar.</li><li>
Familiarity with modern version control systems (e.g., Git).</li><li>
Ability to collaborate in a fast-paced, team-oriented environment.</li><li>
Strong problem-solving skills and eagerness to learn.</li><li>
Willing to put in hard work to keep Dosu at the forefront of AI knowledge infrastructure</li></ul>
Nice to Have<ul><li>
Experience working with cloud environments (e.g., AWS, GCP, Azure).</li><li>
Exposure to data engineering or MLOps tools.</li><li>
Familiarity with APIs and integration best practices.</li></ul><h2 class="jobSectionHeader">
Background</h2>
Dosu is building AI knowledge infrastructure for engineers and coding agents. We auto-generate and auto-maintain engineering knowledge on behalf of the organization, providing persistent and consistent context.
Key Responsibilities<ul><li>
Collaborate with other engineers to design, develop, and maintain software features and enhancements.</li><li>
Integrate and utilize Large Language Models (LLMs) as part of product features and development workflows.</li><li>
Write clean, testable code and participate in code reviews.</li><li>
Investigate and resolve bugs and performance issues.</li><li>
Contribute to technical documentation and support knowledge sharing across the team.</li><li>
Work closely with product and design teams to refine requirements and create user-focused solutions.</li></ul>
Benefits<ul><li>
Competitive salary and equity options</li><li>
In-person SF office</li><li>
Unlimited PTO</li><li>
100% covered Healthcare, Dental, and Vision Insurance</li><li>
401k</li><li>
Regular team lunches, events, and offsites</li><li>
Modern dev setup: MacBook Pro, mechanical keyboard, large monitor</li><li>
Learn to pull an espresso and make a latte
</li></ul>The Process 
We strive to keep our interview process succinct (1&ndash;3 weeks end-to-end), focused on real work, and enjoyable. Expect an intro call, technical discussions, a practical coding challenge, and an in-person team session.
Ready to Apply? 
Submit your application on our website, including:<ul><li>
Your LinkedIn profile</li><li>
Any personal projects, GitHub/GitLab links</li><li>
Anything else you want us to know!</li></ul>
Compensation Range: $100K - $150K</div>

Tetra Tech

<div>The Opportunity: 
Glumac, a Tetra Tech Company, is hiring a Senior Mechanical Engineer for our Mechanical Team in San Francisco, CA. This role is ideal for an experienced mechanical engineer with an established local client network who wants to lead meaningful, high-impact projects across multiple market sectors. Join a collaborative team focused on high-performance, sustainable building systems and grow your technical and leadership footprint.
Position Summary: 
As a Senior Mechanical Engineer, you will lead projects from concept through construction, act as Engineer of Record on select assignments, and provide technical leadership and mentorship. You will design and deliver efficient HVAC systems that meet codes and client expectations, coordinate with architects and contractors, manage budgets and schedules, and help grow the practice locally.<div>
Essential Job Functions: 
The following duties are considered essential to the role. Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions: 
<ul><li>Lead and manage a portfolio of mechanical engineering projects across laboratory/research facilities, commercial, education, government, and hospitality sectors.</li><li>Serve as Engineer of Record on assigned projects and ensure code compliance and constructability.</li><li>Develop sustainable HVAC system designs that optimize performance and energy use.</li><li>Prepare and review design drawings, specifications, and engineering calculations.</li><li>Manage project budgets, schedules, and client communications.</li><li>Coordinate design work with architects, contractors, and multi-disciplinary teams.</li><li>Mentor and train junior engineers; lead QC for deliverables.</li><li>Use industry software and modeling tools to inform design and decision making.</li></ul></div><div>
Required Qualifications: 
<ul><li>Bachelor&rsquo;s Degree in Mechanical Engineering or a related field.</li><li>Currently active Professional Engineer license in California.</li><li>10+ years of experience leading mechanical/HVAC system design across a diverse portfolio of projects</li><li>Demonstrated technical excellence across multiple market sectors, with experience delivering projects from concept through construction administration and certificate of occupancy.</li><li>Proven ability to supervise and mentor staff, supporting long-term professional development and team performance.</li><li>Strong leadership skills with a track record of delivering complex projects with technical precision.</li><li>In-depth knowledge of building and mechanical codes, standards, and best practices.</li><li>Familiarity with regional design practices and regulatory requirements in California and surrounding areas.</li><li>Proficiency in REVIT, AutoCAD, Trane Trace, and MS Office.</li></ul></div><div>
Preferred Qualifications: 
<ul><li>LEED AP BD+C and/or WELL certification.</li><li>Experience in strategic planning, resource management, and cross-disciplinary collaboration.</li><li>Prior track record in growing local client relationships or business development.</li></ul></div>
Work Environment and Location: 
This position offers a hybrid work environment, with a requirement of two in-office days per week in our San Francisco, CA office. All candidates must be located in and eligible to work in the U.S.
Compensation: 
Salary Range: $155,000-$190,000 (depending on experience) 
The base salary range represents the low and high end of the compensation scale for this role. Actual salaries will be determined based on location, experience, responsibilities, and qualifications. This salary range is just one component of Glumac&rsquo;s total compensation package, which includes benefits, professional development opportunities, and additional incentives. 
<div>Why Glumac, a Tetra Tech Company: 
Glumac has been a leader in the sustainable building design industry for over 50 years. In 2017 we joined Tetra Tech, enabling us to combine our expertise with the reach and resources of a prestigious global organization.
At Tetra Tech, we are Leading with Science to solve the world&rsquo;s most complex challenges. Our industry-leading experts in engineering and consulting are committed to driving positive change in communities around the world. For nearly 60 years, we have been at the forefront of innovation and sustainability. Today we stand as a market leader, offering cutting-edge solutions in water, environment, energy, and international development. Our work has improved more than 625 million lives around the world.
Your Impact: 
Join Glumac, a Tetra Tech company, to make a real difference. Our work leverages cutting-edge technologies, advanced analytics, and the expertise of world-class scientists and engineers to create meaningful change around the world. Discover your full potential &ndash; join us to advance your career while leaving a lasting legacy.<div>
Life at Glumac, a Tetra Tech Company: 
The perks of working at Glumac, a Tetra Tech company, include: 
<ul><li>Comprehensive and market-competitive benefits.</li><li>Merit-based financial rewards.</li><li>Flexibility and company-wide commitment to work/life balance.</li><li>Collaborative team atmosphere that values the contributions of all employees.</li><li>Learning and development opportunities for ongoing professional growth.</li></ul></div>
About Tetra Tech: 
Tetra Tech is the leader in water, environment, and sustainable infrastructure, providing high-end consulting and engineering services for projects worldwide. Our 25,000 employees work together to provide clear solutions to complex problems by Leading with Science&reg; to address the entire water cycle, protect and restore the environment, design sustainable and resilient infrastructure, and support the clean energy transition. 
 
Tetra Tech is proud to be an Equal Opportunity Employer. All qualified candidates will be considered without regard to race, color, religion, national origin, age, disability, sex, marital or familial status, status as a protected veteran, or any other characteristic protected by law. Tetra Tech is a VEVRAA federal contractor and we request priority referral of veterans.
We invite applications from all interested parties.</div></div>

Sr. Mechanical Engineer - San Francisco

Explore 52+ Machine learning engineer in San Francisco this February. Find roles across top companies and apply now to boost your career.

52 machine learning engineer jobs In San Francisco

Senior Machine Learning Engineer

Junior Software Engineer

Sr. AI/ML Engineer-4

Senior Software Engineer, Applied AI

Software Engineer (New Grads) - San Francisco

Junior Software Engineer

Sr. Mechanical Engineer - San Francisco