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founding front end engineer

platform software engineer

Waymo

<div><div><p>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p>
The Perception Evaluation team at Waymo is at the forefront of autonomous driving, ensuring the safety and reliability of our self-driving technology. We develop and utilize cutting-edge tools and methodologies to rigorously assess the performance of our Perception systems, a critical component for safe and effective autonomous operation. We are seeking a Staff Software Engineer play a pivotal role in shaping the future of transportation by directly impacting the quality and reliability of Waymo's autonomous vehicles.</p>
<p>
In this hybrid role, you will report to a Staff Technical Lead Manager.</p>
<p><b>
You will:</b></p><br>
<ul>
<li>Lead Advanced Evaluation Framework Design: You will be responsible for the architectural design and development of innovative evaluation frameworks to thoroughly assess perception system performance, particularly in new and diverse urban environments. This includes defining technical specifications and ensuring robustness.</li>
<li>Innovate with AI in Evaluation Methodologies: You will develop and implement cutting-edge evaluation methodologies and scalable pipelines. This involves leveraging advancements in large-scale AI models (including language and multimodal models) to enhance analysis, generate deeper insights, and pioneer new ways to assess performance.</li>
<li>Utilize Simulation and Reference Data Systems: You will drive the use of large-scale inference and simulation systems to establish performance benchmarks, validate perception capabilities, and proactively identify potential perception challenges in a variety of scenarios.</li>
<li>Drive End-to-End Platform Delivery: You will exercise complete end-to-end ownership in delivering a robust and adaptable discovery evaluation platform. This platform must be capable of supporting rapid iteration and meeting the demanding timelines associated with Waymo's city expansions, enabling proactive problem-solving.</li>
<li>Integrate Evaluation with ML Development Cycles: You will collaborate closely with Machine Learning and Data Infrastructure teams. Your responsibility is to ensure that evaluation findings are seamlessly integrated into the data-driven model development loop, creating a flywheel to accelerate training, hillclimbing, and overall system improvement.</li>
<li>Resolve Complex Technical Challenges: You will proactively identify, troubleshoot, and resolve complex technical hurdles within the perception evaluation domain. This involves deep technical investigation and ensuring the delivery of high-quality, actionable feedback for system enhancements, often under tight deadlines.</li>
</ul>
<p><b>You have:</b></p>
<ul>
<li>8+ years of experience designing and building complex, scalable systems</li>
<li>Demonstrated technical leadership in defining long-term strategy, developing roadmaps, and guiding teams to execute projects from ambiguous requirements to high-impact deliverables</li>
<li>Demonstrated ability to work effectively across diverse teams and communicate technical concepts clearly</li>
<li>Deep expertise in the evaluation of Machine Learning systems at scale, encompassing metrics design, rigorous experimentation, large-scale data analysis, and statistical methods</li>
<li>Hands-on experience with ML infrastructure, modern AI concepts (including foundation models or similar), and their practical application to solve real-world problems</li>
<li>Proficiency in C++ and Python in a production environment</li>
<li>Excellent problem-solving skills, clear technical communication, and a strong sense of end-to-end ownership</li>
</ul>
<p><b>We prefer:</b></p>
<div>
<ul><li>Familiarity with autonomous vehicle systems, particularly Perception, including typical data pipelines and evaluation processes</li>
<li>Hands-on experience with data analysis, visualization, and triage tools &amp; workflows, with a knack for identifying improvement areas</li>
<li>Experience in designing and implementing efficient data processing workflows for large datasets</li>
<li>Familiarity with or experience in developing solutions using Generative AI or building AI agents</li>
</ul>
</div><div><div><div><p>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$238,000&mdash;$302,000 USD</div></div></div></div>

Staff Software Engineer, Perception Evaluation

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.<br>
</li>
<li>1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.<br>
</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.<br>
</li>
<li>2 years of experience with data structures or algorithms.</li>
<li>Experience developing accessible technologies.<br>
</li>
<li><div>Experience with Android development.</div></li>
<li><div>Experience with Natural Language Processing (NLP) concepts or techniques.</div></li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.</p><p><br>
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Write product or system development code.<br>
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)<br>
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.<br>
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.<br>
</li>
<li>Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer III, AI/ML, Platforms and Devices

Notion

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 <br/>
 <br/>
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As a Core Product engineer, you will directly contribute to the foundational pieces of Notion's building blocks. You will be a key player in building a robust technical foundation that allows Notion to achieve the connected workspace vision. Your work will include both internal platform contributions to accelerate other Notion engineering teams, and end-user facing functionality to enable toolmaking ubiquity. The team acts as a multiplier for the engineering organization, has outsize impact on how fast Notion grows, and guides the full-stack direction. Moreover, you will be presented with challenging technical problems as Notion&rsquo;s product needs are complex. You&rsquo;ll also play a key role in identifying and executing against technical investments that ensure the long-term quality, reliability, and performance of databases in Notion as we scale. You will help define team norms, operating principles, team culture, and much more.
 <br/>
 <br/>
 <strong>
  What You'll Achieve
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You&rsquo;ll work with a team of engineers and cross-functional partners across product, design, data science, and user research to define a product strategy and drive execution through conception, research, implementation, and maintenance.
  </li>
  <li>
   You&rsquo;ll build and maintain foundational pieces of Notion&rsquo;s building blocks, enabling a wide array of use cases in Notion such as docs, wikis, issue tracking, project management, and more.
  </li>
  <li>
   You&rsquo;ll contribute to the overall performance, reliability, and robustness of the Notion product, ensuring it scales elegantly across many dimensions.
  </li>
  <li>
   You&rsquo;ll partner with engineering leaders to identify and execute against high leverage technical investment that ensure the long-term flexibility and sustainability of our core systems.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills You'll Need To Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven track record of execution: You have experience building world-class product experiences alongside a team of engineers.
  </li>
  <li>
   Shipping quality user interfaces: You partner closely with product and design to craft beautiful user experiences for large audiences, leveraging web technologies like HTML, CSS, JavaScript, and a modern UI framework like React. If you've experienced the technical challenges of rapid growth, that's a plus.
  </li>
  <li>
   Building the team: You enjoy collaborating with both fellow engineers and cross-functional partners. You are a lifelong learner and invest in both your own growth, but also the growth, learning, and development of your teammates.
  </li>
  <li>
   Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think critically about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity flawlessly, decompose complex problems into clean solutions, while also balancing the business impact of what you&rsquo;re building.
  </li>
  <li>
   Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go.
  </li>
  <li>
   Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice To Haves
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You're proficient with any part of our technology stack: React, TypeScript, Node.js, and Postgres.
  </li>
  <li>
   You have experience driving teams toward shared goals and can balance business priorities with individuals&rsquo; strengths, areas of interest, and career development goals.
  </li>
  <li>
   You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others&mdash;and understand why we're big fans of their work.
  </li>
  <li>
   You have interests outside of technology, such as in art, history, or social sciences.
   <br/>
   <br/>
  </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 <br/>
 <br/>
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is 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 made due to a disability, please let your recruiter know.
 <br/>
 <br/>
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $150,000 - $283,000 per year.
 <br/>
 <br/>
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 <br/>
 <br/>
</div>


Software Engineer, Core Product

Ironclad

<div><div><p>Location</p><div>
San Francisco, Seattle , New York City, Chicago, Remote</div></div><div><p>
Employment Type</p><div>
Full time</div></div><div><p>
Location Type</p><div>
Hybrid</div></div><div><p>
Department</p><div>
Engineering, Product &amp; Design</div></div><div><p>
Compensation</p><ul><div><div>
Tier 1</div><p>
Base Salary Range: $210K &ndash; $235K &bull; Offers Equity</p></div></ul><div><div>
The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad&rsquo;s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.</div></div></div></div>
<br><p></p><div><div><div><div>Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year.<br>
<br>
Every business is powered by contracts, but managing them can slow companies down and cost millions of dollars. Global innovators like L&rsquo;Or&eacute;al, OpenAI, and Salesforce trust Ironclad to transform contracting into a strategic advantage - accelerating revenue, reducing risk, and driving efficiency. It&rsquo;s the only platform that manages every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA.<br>
<br>
We&rsquo;re building the future of intelligent contracting and writing the narrative for how contracts unlock strategic growth. <b>Forrester Wave </b><b>and </b><b>Gartner Magic Quadrant</b> have consistently recognized Ironclad as a leader in our category. We&rsquo;ve also been named one of <b>Fortune&rsquo;s Great Places to Work</b> six years running, featured on <b>Glassdoor&rsquo;s Best Places to Work</b>, and recognized by <b>Forbes&rsquo; 50 Most Promising AI Companies</b>.<br>
<br>
We&rsquo;re backed by leading investors like Accel, Sequoia, Y Combinator, and BOND. We&rsquo;d love for you to join us!</div><p><b><i><br>
This is a hybrid role. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events.</i></b></p><p><b><br>
AI Engineering @ Ironclad</b></p><p>
Ironclad is accelerating its AI initiatives to transform how contracts are built, managed &amp; executed across an organization. We're looking for a AI/ML Engineer to help shape the future of legal AI. In this role, you&rsquo;ll work with cutting-edge technologies such as Context Engineering, LLM Tuning / Post Training, Evaluation Frameworks to develop state-of-the-art models and intelligent systems that power product features used by leading legal teams.</p><p>
You&rsquo;ll partner closely with product managers and designers to translate user needs into AI-powered product capabilities. You&rsquo;ll also lead efforts in model evaluation, iteration, and deployment&mdash;ensuring our systems are robust, explainable, and continuously improving. As part of our end-to-end ownership model, you&rsquo;ll contribute to the MLOps stack to ensure our models are scalable, reliable, and performant in production.</p><p></p><p><b>
What you'll be doing:</b></p><ul><li><div>
Build and Tune models and AI capabilities that ingest legal documents, extract key information, and deliver actionable insights to customers</div></li><li><div>
Implementing backend services that power document understanding, classification, and natural language search</div></li><li><div>
2 years of previous experience exploring and applying cutting-edge techniques in NLP, LLM integration, Prompt / Context Engineering, and semantic search to advance Ironclad&rsquo;s AI/ML vision</div></li><li><div>
2 years of previous experience designing and maintaining robust systems for context management, model training / tuning, orchestration, evaluation &amp; inference, with a focus on scalability, reliability, and observability</div></li><li><div>
2 years of previous experience developing and scaling retrieval-augmented generation (RAG) systems and agent-based orchestration frameworks for complex legal workflows</div></li><li><div>
Help build foundational AI/ML infrastructure, including tools for experimentation, model versioning, and online/offline performance monitoring</div></li><li><div>
Partner closely with product managers and designers to shape user-facing AI experiences and deliver value through APIs and intelligent features</div></li></ul><p></p><p><b>
Required skills:</b></p><ul><li><div>
BS or advanced degree in Computer Science, Engineering, or a related field</div></li><li><div>
Experience working with large language models (e.g., GPT, Claude) or building RAG systems</div></li><li><div>
Experience with embedding models and vector databases</div></li><li><div>
Experience in training, evaluating, and serving AI/ML models</div></li><li><div>
7+ years of hands-on experience with Python, backend service development, and RESTful APIs</div></li><li><div>
Experience in NLP techniques such as text classification, entity extraction, document understanding, or question answering</div></li><li><div>
Proficiency with AI frameworks and APIs (e.g., PyTorch, TensorFlow, HuggingFace , OpenAI , LangChain)</div></li><li><div>
Experience with cloud platforms (e.g., GCP, AWS, Azure)</div></li><li><div>
Solid understanding of Git or other version control systems</div></li><li><div>
Strong engineering fundamentals and attention to code quality, testing, and maintainability</div></li><li><div>
Excellent communication and collaboration skills</div></li><li><div>
Passion for building AI products that solve real-world customer problemsS</div></li></ul><p></p><p><b>
Nice to have:</b></p><ul><li><div>
Familiarity with Vertex AI or other managed ML platforms</div></li><li><div>
Experience working with PDF and DOCX parsing for document ingestion</div></li><li><div>
Comfort with Docker and containerized development</div></li><li><div>
Familiarity with CI/CD systems (e.g., GitHub Actions, CircleCI)</div></li><li><div>
Monitoring and observability with tools like Datadog or equivalent</div></li><li><div>
Experience with data processing and analysis using tools like SQL, Pandas, NumPy, or PySpark</div></li></ul><p></p><p><b>
Benefits:</b></p><ul><li><div>
Health, dental, and vision insurance</div></li><li><div>
401k</div></li><li><div>
Wellness reimbursement</div></li><li><div>
Take what you need vacation policy</div></li><li><div>
Generous parental leave for both primary and secondary caregivers</div></li></ul><p></p><p><b>
Base Salary Range - Senior: $180,000 - $200,000</b></p><p><b>
Base Salary Range - Staff: $210,000 - $235,000
</b></p><p></p><p>The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad&rsquo;s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.</p><p></p><p>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p></div></div></div><p></p>

Staff Software Engineer - Applied AI

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 <br/>
 <br/>
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Notion is looking for talented engineers to help build the next generation of our search infrastructure. This team is responsible for ensuring that all of the content that our users keep in Notion is available for search. You will provide the bedrock of our search and AI functionality by ensuring that our indexing systems and search clusters are comprehensive, instantaneous, and correct.
 <br/>
 <br/>
 <strong>
  What You'll Achieve
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You&rsquo;ll denormalize, preprocess, and index any and every type of Notion comment that our users might find useful.
  </li>
  <li>
   You&rsquo;ll find opportunities up and down the stack to maintain Notion&rsquo;s stunningly quick indexing latency.
  </li>
  <li>
   You&rsquo;ll drive us towards correctness and consistency, ensuring that every change in the application is reflected in our search indices.
  </li>
  <li>
   You&rsquo;ll scale our search infrastructure up and out, owning both the hardware and the configurations of our indices.
  </li>
  <li>
   You&rsquo;ll drive us to a best-in-class position when it comes to user privacy, security, and Enterprise-level features.
  </li>
  <li>
   You&rsquo;ll own our feature-store infrastructure, making it easy for multiple teams to make high-value information quickly and cheaply available.
  </li>
  <li>
   You&rsquo;ll work with product engineers across the organization, consulting on data modeling and ingesting new types of content.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills You'll Need To Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You have experience in:
  </li>
  <ul>
   <li>
    backend engineering;
   </li>
   <li>
    data infrastructure;
   </li>
   <li>
    search infrastructure;
   </li>
   <li>
    queueing systems;
   </li>
   <li>
    at-least-once message delivery;
   </li>
   <li>
    multi-stage data pipelines; or
   </li>
   <li>
    distributed systems
   </li>
  </ul>
  <li>
   You have a track record for shipping scalable and reliable user-facing products.
  </li>
  <li>
   You thrive when collaborating cross-functionally &mdash; especially with product, design, infrastructure or data teams.
  </li>
  <li>
   You have a computer science background or equivalent technical experience.
   <br/>
  </li>
 </ul>
 <strong>
  Nice To Haves
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You have experience building full-text search using, e.g: Lucene, Elasticsearch, Solr.
  </li>
  <li>
   You have experience with designing, building and maintaining complex distributed systems.
  </li>
  <li>
   You have experience with large scale data processing technologies, e.g: Spark, Flink, Kafka, Airflow, YARN/Hadoop.
  </li>
  <li>
   You have tuned the throughput of a complex asynchronous system.
  </li>
  <li>
   You have worked at a fast-growing start-up, a SaaS company, or are eager to contribute in such an environment (being a current Notion user would be great!)
  </li>
  <li>
   You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others&mdash;and understand why we're big fans of their work.
   <br/>
   <br/>
  </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 <br/>
 <br/>
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is 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, please let your recruiter know.
 <br/>
 <br/>
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. The estimated base salary range for this role is $180,000 - $280,000 per year.
 <br/>
 <br/>
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 <br/>
 <br/>
</div>


Software Engineer, Search Platform

Chalk

<div>
 <p>
  <strong>
   <u>
    About Chalk
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  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 the performance of Rust with elegant tools that developers love to use. Leading companies depend on Chalk for a variety of use-cases including stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. We've recently raised a
  <u>
   $50 million Series A
  </u>
  , led by Felicis.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    About the role
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are hiring experienced Frontend Software Engineers to join our team. In this role, you will be responsible for defining strong front-end architecture patterns, leading development of well abstracted reusable components, and collaborating across teams to increase developer velocity. You will excel in this role if you&rsquo;re an experienced engineer with deep front-end expertise who can collaborate effectively across multiple teams and functions to deliver results.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   We work in-person Monday through Friday in our SF office. We don&rsquo;t currently offer remote or hybrid positions.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for software engineers who are comfortable solving business problems across all layers of the software stack, with a specific focus on frontend engineering. At Chalk, we build reliable data processing systems that can operate performantly at scale with a laser-focus on developer experience.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We need engineers who can build world-class user experiences across web and command-line surfaces, while also understanding and contributing to a codebase that contains ideas from compilers, query planners, and distributed systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    What you will do
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Work directly with Chalk&rsquo;s co-founders to productionize our first iteration
  </li>
  <li>
   Write TypeScript (React), Python, Go
  </li>
  <li>
   Drive frontend architecture discussions and technical breakdowns.
  </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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    What we&rsquo;re looking for
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <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 applications
  </li>
  <li>
   You have a deep technical understanding of frontend technologies, patterns, and best practices. You have a firm understanding of backend systems which enable you to collaborate on problems that span the entire stack
  </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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Bonus points
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Benefits
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  ⚕️Comprehensive medical, dental, and vision insurance
 </p>
 <p>
  🏦 Flexible Spending Account (FSA), Health Savings Account (HSA)
 </p>
 <p>
  🦮 Expert Healthcare Guidance
 </p>
 <p>
  💵 Retirement savings
 </p>
 <p>
  🎄15 company holidays each year
 </p>
 <p>
  🏖️15 days of personal time off each year
 </p>
 <p>
  🚌 Flex Commuter Benefits
 </p>
 <p>
  🌮 Daily lunch and dinner on Chalk
 </p>
 <p>
  🥤Office is fully-stocked with drinks and snacks to fuel your work day.
 </p>
 <p>
  🍽️ Staying late? Dinner is on us
 </p>
 <p>
  🚖 Staying even later? Grab an Uber / Lyft home on Chalk
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Compensation
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Chalk offers early team members a generous salary + equity package based on experience and competitive benefits.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Inclusivity
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support.
 </p>
</div>


Frontend Software Engineer

Astranis

<div><div><p>Astranis builds advanced satellites for high orbits, expanding humanity's reach into the solar system. Today Astranis satellites provide dedicated, secure networks to highly-sophisticated customers across the globe&mdash; large enterprises, sovereign governments, and the US military.With five satellites on orbit and many more set to launch soon, the company is servicing a backlog of more than $1 billion of commercial contracts.<br>
<br>
Astranis is the preferred satellite communications partner for buyers with stringent requirements for uptime, data security, network visibility, and customization.Astranis has raised over $750 million from some of the world's best investors, from Andreessen Horowitz to Blackrock and Fidelity, and employs a team of 450 engineers and entrepreneurs. Astranis designs, builds, and operates its satellites out of its 153,000 sq. ft. headquarters in Northern California, USA.</p></div><p><b>
Cloud Platform Engineer</b></p>
<p>
Reliability is the cornerstone of a successful space mission. As a Cloud Platform Engineer, you'll design infrastructure that's as mission-critical as the satellites it supports: platforms built to run 24/7 without compromise. Your infrastructure will be the foundation for applications Mission Operators use to safely command our satellites and maintain situational awareness. Your expertise will guide our company strategy in leveraging the cloud for hosting critical applications and improving developer productivity.</p>
<p>
This role supports both commercial and U.S. Government programs.</p>
<p>
In this role, you will:</p>
<ul>
<li>Design, deploy, and maintain Kubernetes-based platforms that host mission-critical applications</li>
<li>Harden infrastructure for resilience and build self-healing systems with minimal downtime</li>
<li>Develop observability pipelines that give insight into cluster health and cost</li>
<li>Partner with teams across the engineering org to ensure their application requirements and SLAs are met</li>
<li>Champion best practices in software reliability, security, and scalability across the engineering org</li>
</ul>
<p><b>Requirements</b></p>
<ul>
<li>3+ years experience in Infrastructure and/or Site Reliability engineering</li>
<li>Bachelor of Science in a related discipline (e.g. Computer Science, Information Technology)</li>
<li>Experience deploying and maintaining production Kubernetes clusters</li>
<li>Experience with infrastructure-as-code tools (e.g. Terraform, Ansible)</li>
<li>Proficiency with Python or other scripting language</li>
<li>Understanding of cloud spend optimization and best practices for managing cost</li>
</ul>
<p><b>Bonus Areas</b></p>
<ul>
<li>Experience with on prem or baremetal Kubernetes management</li>
<li>Experience with GitOps tools (e.g. FluxCD, ArgoCD)</li>
<li>Familiarity with observability stacks and implementing monitoring solutions (e.g. Prometheus, Grafana)</li>
<li>Experience with secrets management (e.g. Vault, External Secrets)</li>
<li>Experience with service meshes (e.g. Istio, Nginx)</li>
</ul><div><div><b>U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status Required</b></div>
<div>(To comply with U.S. Government space technology export regulations, applicant must be a U.S. citizen, lawful permanent resident of the United States, or other protected individual as defined by 8 U.S.C. 1324b(a)(3))</div>
<div></div>
<div>Our mission and our products are meant to connect the world and everyone in it, regardless of gender, race, creed, or any other distinction. We believe in a diverse and inclusive workplace, and we encourage all people to join our team and bring their unique perspective to help make us stronger.</div></div></div>

Cloud Platform Engineer

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