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Bright Machines

<div><div><b>RETHINK MANUFACTURING</b></div><div></div><div><br>
The only way to ignite change is to build the best team. At Bright Machines&reg;, we&rsquo;re innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers&rsquo; unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next.<br>
</div><div></div><br>
<div>Working with us means you&rsquo;ll have the opportunity to make lasting, impactful changes for our company and our customers. If you&rsquo;re ready to apply your exceptional skills to create the factory of the future, we&rsquo;d love to speak with you.</div>
<h3 class="jobSectionHeader"><b>ABOUT THE ROLE</b></h3><div>
<p>
Software Engineers at Bright Machines are responsible for defining and implementing the systems that make Software Defined Manufacturing possible. Our platform is deployed across factory sites around the world, supporting manufacturing operations for some of the biggest names in the industry.</p>
<p>
As an Software Engineer, you will take meaningful ownership of features and small projects across our factory software stack &mdash; including Shopkeeper (our version for a better MES), the Assembly Dashboard for Observability, Metrics and Reporting, and the infrastructure connecting the factory floor to the cloud. You will independently design and implement solutions to moderately complex problems, collaborate with cross-functional partners, actively contribute to the technical direction of the team, and mentor junior engineers. You may also lead small cross-functional projects or initiatives.</p>
<p>
If you are ready to take ownership and contribute to a platform that changes manufacturing, this is your opportunity to Be Bright.</p>
</div><h3 class="jobSectionHeader"><b>
WHAT YOU WILL BE DOING</b></h3><ul>
<li>
<p>Write clean, efficient, and maintainable code across our backend and infrastructure stack</p>
</li>
<li><p>Take full ownership of small-to-medium projects or features end-to-end from design through deployment</p>
</li>
<li><p>Independently design and implement solutions to moderately complex engineering problems</p>
</li>
<li><p>Accurately estimate and prioritize tasks within sprint and quarterly planning cycles</p>
</li>
<li><p>Conduct code reviews and provide constructive, actionable feedback to peers</p>
</li>
<li><p>Proactively identify and resolve technical challenges before they become blockers</p>
</li>
<li><p>Mentor junior engineers through pairing, reviews, and technical guidance</p>
</li>
<li><p>Clearly communicate technical decisions and trade-offs to both technical and non-technical audiences</p>
</li>
<li><p>Collaborate effectively with cross-functional teams including product managers, hardware engineers, and operations</p>
</li>
<li><p>Actively participate in technical discussions, architecture reviews, and team decision-making</p>
</li>
<li><p>Contribute to improving team processes, development workflows, and engineering standards</p>
</li>
<li><p>May lead small cross-functional projects or initiatives as technical lead</p>
</li>
</ul><h3 class="jobSectionHeader"><b>WHAT YOU WILL BRING</b></h3><div>
<ul>
<li><p>3-5 years of professional software engineering experience</p>
</li>
<li><p>Bachelor degree (or equivalent) in Computer Science, Engineering, Mathematics, or a related field</p>
</li>
<li><p>Proficiency in at least two frameworks, languages, or technologies in our stack (Python, FastAPI, TypeScript, React, Vue, PostgreSQL, Kubernetes)</p>
</li>
<li><p>Demonstrated ability to independently design and ship features in a production environment</p>
</li>
<li><p>Experience conducting code reviews and contributing to engineering standards</p>
</li>
<li><p>Strong written and verbal communication skills</p>
</li>
<li><p>Track record of working effectively both independently and as part of a cross-functional team</p>
</li>
<li><p>Experience collaborating with cross-functional stakeholders (product, ops, or hardware teams)</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>IT WILL BE GREAT IF WE HAD</b></h3><div>
<ul>
<li><p>Experience with manufacturing execution systems (MES), factory automation, or industrial software</p>
</li>
<li><p>Familiarity with Kubernetes, Kustomize, or GitLab CI/CD pipelines</p>
</li>
<li><p>Experience with event-driven architectures, WebSockets, or real-time systems</p>
</li>
<li><p>Background in AWS services (S3, IoT Core, SSM, EKS, CodePipeline)</p>
</li>
<li><p>Demonstrated experience mentoring junior engineers or leading small technical initiatives</p>
</li>
<li><p>Contributions to technical decision-making within or across teams</p>
</li>
</ul></div><div><b>BE EMPOWERED TO CHANGE AN INDUSTRY</b></div><div></div><div><br>
Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market.</div><div></div><div><br>
Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes&rsquo; AI 50, awarded &ldquo;Best AI-based Solution for Manufacturing&rdquo; by AI Breakthrough, named a &ldquo;Technology Pioneer&rdquo; by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.</div><br>
<div></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Software Engineer - Automation Applications

Wonderschool

<div>
 <strong>
  About Wonderschool
  <br/>
  <br/>
 </strong>
 Wonderschool is harnessing the power of technology to provide comprehensive support to childcare providers operating out of their homes as well as in the government and non-profit sectors. Our products enable childcare providers to create high-quality environments and meet the demands of their business, while also helping parents in need of childcare solutions through the creation of an accessible marketplace.
 <br/>
 <br/>
 We are seeking a highly skilled and motivated Early Career Software Engineer to join our team. As the Early Career Software Engineer, you will play a crucial role in leading our software development initiatives, working with a talented team to create innovative solutions. Your expertise in delivery of high-quality software will be essential in driving the development of our cutting-edge applications.
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We are seeking an Early Career Software Engineer with an interest in applied AI to join our growing team. This is a unique opportunity to work in a fast-paced, purpose-driven environment where you can apply your technical skills to create meaningful impact in the childcare ecosystem. You&rsquo;ll collaborate with cross-functional teams to build scalable, AI-driven solutions that empower childcare providers and improve parent experiences. This position is on site in our San Francisco office, Tuesday, Wednesday, and Thursday to allow for collaboration.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain robust software solutions with a focus on integrating AI capabilities.
  </li>
  <li>
   Collaborate with product managers, designers, and engineers to define requirements and implement innovative features.
  </li>
  <li>
   Design and Development of AI Agents: Build modular, task-specific AI agents capable of natural language understanding, dialogue management, and action execution using frameworks such as LangChain or Rasa.
  </li>
  <li>
   Debug and troubleshoot technical issues to ensure platform stability.
  </li>
  <li>
   Stay current with emerging technologies and best practices in software engineering and AI.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
  </li>
  <li>
   Strong foundation in programming languages (e.g., Python, JavaScript, or TypeScript).
  </li>
  <li>
   Familiarity with AI/ML concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  </li>
  <li>
   Basic understanding of cloud platforms like Google Cloud Platform and AWS.
  </li>
  <li>
   Excellent communication skills and ability to work in a collaborative, in-person environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice-to-Have Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong understanding of machine learning principles, including model development, evaluation, and deployment for real-world applications.
  </li>
  <li>
   Retrieval-Augmented Generation (RAG) Pipelines: Design and deploy RAG pipelines by integrating retrievers with generative models to enable contextual, real-time responses using vectorized knowledge bases.
  </li>
  <li>
   Continuous Learning: Incorporate user feedback loops and data augmentation techniques to iteratively improve the performance and relevance of AI agents and RAG pipelines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Compensation: Expected salary range is $100K&ndash;$120K annually, based on experience and location.
  </li>
  <li>
   Health Benefits: 100% coverage for employee premiums and 80% for dependents.
  </li>
  <li>
   Wellness: Flexible PTO, mental wellness days, and reimbursements for wellness initiatives.
  </li>
  <li>
   Parental Leave: Competitive policies eligible after six months of employment.
  </li>
  <li>
   Work Environment: 3-5 Days in our SF Office in Downtown in SF with lunch covered.
   <br/>
   <br/>
  </li>
 </ul>
 Wonderschool&rsquo;s mission is to ensure every child has access to child care that helps them realize their potential. We are doing this by building a suite of tools to support passionate early care and education professionals to start and run quality and sustainable child care programs. Our tools allow providers to easily manage their students, parents, and school all from one dashboard. Our community allows providers to seek advice, support, and a sense of belonging with a group of like-minded peers.
 <br/>
 <br/>
 For parents, our marketplace allows parents to easily search for schools, schedule visits, enroll their children, and make payments.
 <br/>
 <br/>
 The first five years of a child&rsquo;s life are critical for nurturing brain development for success in school and beyond. All children deserve access to a care situation that will allow them to grow into healthy, lifelong learners. By leading a revolution where all children are able to get access to an environment to develop these skills, we can create drastic changes to neighborhoods and societies as a whole.
</div>


Early Career Software Engineer – Applied AI

Amaris Consulting

Job description
<br><br>
The Opportunity
<br><br>
Amaris Consulting is looking for a Software / Machine Learning Engineer to join a world-class engineering team working on cutting-edge autonomous and operator-assist systems. You will contribute to building production-grade autonomy software, from perception and computer vision to real-time decision-making; on both robotic and manned platforms. A high-impact role at the intersection of AI, robotics, and safety-critical systems.
<br><br>
Your Key Responsibilities
<br><br>
Design, implement and test algorithms for autonomy and advanced operator-assist systems
<br>Develop and maintain production-quality C++ and Python code for autonomy features
<br>Collect, process and analyze data from robotic and manned platforms to improve ML models and system performance
<br>Participate in the full software development lifecycle using Agile practices
<br>Contribute to architecture decisions, design reviews, code reviews and technical documentation, including design specs, test plans and safety procedures
<br><br>
Skills And Attributes For Success
<br><br>
Solid AI / ML / Deep Learning background applied to autonomy or operator-assist systems
<br>Strong experience in computer vision — image processing, object detection, tracking, scene understanding
<br>Hands-on experience with TensorFlow and/or PyTorch, and OpenCV for perception and sensor data processing
<br>Proficiency in C++ and Python for production-grade software development
<br>Extensive experience with Agile SDLC using Azure DevOps or Jira
<br>Comfortable with cloud compute and storage; AWS EC2, S3, Batch, for training, testing and deployment workflows
<br>Experience developing, integrating and testing complex autonomy software under safety and timing constraints
<br>Degree in Computer Science, Engineering, Robotics or a related field
<br><br>
Ideally, You'll Also
<br><br>
Have familiarity with ROS or AIS for robotics software development
<br>Have experience with NVIDIA hardware for accelerated ML workloads
<br>Be comfortable working across multiple subsystems and debugging complex cross-system issues
<br>Have exposure to safety-critical software development standards and practices
<br><br>
What We Look For
<br><br>
A curious and rigorous engineer who thrives at the intersection of AI research and real-world deployment. You write clean, reliable code, take ownership of your work end to end, and communicate clearly across robotics, systems and product teams. You are energized by hard problems and motivated by seeing your algorithms perform in the real world, not just on paper.
<br><br>
Why choose us
<br><br>
An international community bringing together more than 110 different nationalities
<br><b>An environment where trust is central:</b> 70% of our leaders started their careers at the entry level
<br>A strong training system with our internal Academy and more than 250 modules available
<br>A dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)
<br><br>
Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
<br><br>
Who are we?
<br>Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
<br><br>
At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:
<br><br>
<b>Brief Call:</b> Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
<br><br>
Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
<br><br>
<b>Case study:</b> Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
<br><br>
As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
<br>We look forward to meeting you!

Software / Machine Learning Engineer - Autonomous Systems

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, Tuesdays, 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>
 We're looking for an AI Product Engineer to join the team responsible for Notion's Custom Agents &mdash; which help teams automate their recurring workflows like filing tasks, writing reports, and answering questions in a knowledge base. As an AI Product Engineer, you'll help define and build cutting-edge AI-powered features into this core product experience, leveraging LLMs, embeddings, and other AI technologies to make Notion's Custom Agents more intelligent, capable and reliable at scale.
 <br/>
 <br/>
 <strong>
  What You'll Achieve
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work with the team to prototype and experiment with new AI features
  </li>
  <li>
   Productionize and scale asynchronous workflows across Notion&rsquo;s systems
  </li>
  <li>
   Collaborate across AI, Infrastructure and Product teams to deliver high quality experiences for users
  </li>
  <li>
   Stay up-to-date with the latest AI technologies and trends
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills You'll Need To Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Expertise building and prototyping: You have experience building AI products using LLMs, embeddings and other ML technologies. You understand how parts of a system fit together from UI to data model, are familiar with relational databases like Postgres or MySQL, and have experience building products from ground up.
  </li>
  <li>
   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>
   Empathetic communication and collaboration: 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. You enjoy collaborating with both fellow engineers and cross-functional partners. You are a lifelong learner and invest in both your own growth and the growth, learning, and development of your teammates.
  </li>
  <li>
   Impact-orientation and user focus: You care about business impact and prioritize projects accordingly. You understand the balance between craft, speed, and the bottom line. You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact&mdash;good and bad. Work isn't a solo endeavor for you, and you enjoy collaborating cross-functionally to accomplish shared goals.
   <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 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 or New York City, the estimated base salary range for this role is $213,000- $250,000 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 and NYLL 144.
 <br/>
 <br/>
</div>


Software Engineer, AI Workflows

Google

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.<br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>San Jose, 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>8 years of experience in software development.</li>
<li>3 years of experience in AI/Machine Learning (e.g., deep learning, perception, or computer vision).</li>
<li>Experience in C++, Python, Generative AI, Multimodal Machine Learning.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field.<br>
</li>
<li>3 years of experience in a technical leadership role leading project teams and setting technical direction.<br>
</li>
<li>Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.</li>
<li>Experience with multimodal learning, large language models, or AI agents.</li>
<li>Experience with prompt engineering, few-shot learning, post-training techniques, and evaluations.</li>
<li>Familiarity with large-scale model training and deployment.</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 Google XR mission is to make information accessible. The team is working to advance artificial intelligence for wearable computers.</p><div>
In this role, you will conduct development on large language models (LLMs) and agents, particularly in the multimodal domain (vision, audio), focusing on developing AI for XR devices (glasses, goggles). You will contribute to AI research and the development of computing products.</div><p>
For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap &ndash; the convergence of AI and XR. This is more than just new devices &ndash; it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.</p><div><div><div><div>
The US base salary range for this full-time position is $207,000-$300,000 + 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.<br>
</div><div></div><br>
<div>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.</div></div></div></div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Lead the development and optimization of on-device and hybrid multimodal models for XR devices. Utilize techniques to enhance performance and robustness while adhering to strict device power and latency constraints. Write production-quality C++ and Python code.<br>
</li>
<li>Create comprehensive evaluation plans for hybrid systems, from dataset development to defining KPIs that measure both model accuracy and on-device efficiency.<br>
</li>
<li>Identify, implement, and ship the latest modeling innovations, focusing on hybrid agent architectures, orchestration between edge and cloud, multimodality, tool integrations, and personalization.<br>
</li>
<li><div><div>Prove out concepts for on-device AI features through rapid prototyping and iterative development, facilitating team testing in close partnership with XR product teams.</div></div></li>
<li><div><div><div>Work closely with research scientists, engineers, and product teams to drive the technical roadmap. Foster a collaborative environment and share findings through conference publications while contributing to product launches.</div></div></div></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>

Staff Software Engineer, On-Device Hybrid Multimodal AI

Opex Corporation

<div><p><b>Account Executive<br>
</b></p><p></p><p><b>Position Summary
</b></p><p>OPEX Corporation is currently looking for an Account Executive to join our team with a sales region of northern California, northern Nevada, Oregon and Washington. If you are talented, driven and an experienced Sales professional then OPEX may be the right place for you to pursue your career.<br>
</p><p></p><p><b>OPEX Corporation </b>is a recognized global technology leader in <b>high-speed mailroom automation, document imaging, and warehouse automation </b>. Our company manufactures and designs innovative mail automation equipment integrated with software solutions for business mailing operations, postal agencies, and letter shops across the world.<br>
</p><p></p><p><b>Responsibilities:<br>
</b></p><p></p><p>The <b>Account Executive </b>serves as a Sales Executive for new and existing accounts. The Account Executive facilitates all aspects of the sales process including but not limited to:
</p><ul><li>Understands the company's vision, mission, and strategy; understands business unit objectives and sets/accomplishes individual performance goals accordingly
</li><li>Identifies new sales opportunities with new and existing customers
</li><li>Qualifies sales opportunities through market / customer research and understanding the client&rsquo;s needs
</li><li>Communicates value proposition to customers, proposes sales solutions to customers and reevaluates solutions where necessary
</li><li>Managing the sales process from purchase order to installation
</li><li>Closes sales opportunities by securing purchase orders or signed proposals
</li>Provides outstanding customer service and post sales satisfaction facilitating long term relationships for repeat business with customers<br>
<li>
</li></ul><p></p><p><b>Qualifications:
</b></p><ul><li><b>3 plus years of successful Outside B2B Sales experience
</b></li><li>Bachelor&rsquo;s Degree preferred
</li><li>Prospecting, hunter mentality, and aggressive self-motivated individual
</li><li><b>Industry experience: Document Imaging and/or Document Management space desirable
</b></li><li><b>Sales or Operations experience is required
</b></li><li>Tech savvy and proficiency using Microsoft Office Suite Software (with an emphasis on Excel) strongly preferred
</li><li>Consultative selling skills &ndash; ability to assess client needs and create solution
</li><li><b>Average of 2-3 overnights within territory per month, remainder is work from home
</b></li><li>Strong planning, organization, communication, problem solving and decision-making skills
</li><li><b>Valid Driver&rsquo;s License with a good driving record (within the last 5 years)<br>
</b></li></ul><p></p><p><b>What OPEX Corporation Offers:
</b></p><ul><li><b>BASE SALARY, PLUS UNCAPPED COMMISSION
</b></li><li>Company Car provided
</li><li>Great product to sell, support structure, marketing specialist, happy customers
</li><li>Growing company &ndash; internationally and domestic
</li><li>Growth Opportunity
</li><li>Freedom to go after, conquer territory, and build book of business
</li><li>International leader in the state-of-the-art mail-handling and scanning equipment systems
</li>Significant engineering investment in new product development<br>
<li>
</li></ul><p></p><p>The salary range is $70k-$75k, based on experience.</p></div>
<br><div><p><b>Company Overview
</b></p><p>OPEX Corporation is more than a manufacturer of machines. We continuously reimagine technology to power the future for our customers.
</p><p>With an innovative approach, we engineer unique automated solutions that support our customers so they can solve the most pressing business challenges for both today and tomorrow. Our scalable Warehouse, Document, and Mail Automation solutions improve workflow, accelerate change, and drive efficiencies in infrastructure.
</p><p>We are a family-owned and operated organization with more than 1400 committed employees who innovate, manufacture, install, and service products that are helping transform industry every day. We listen to our customers, respect each other, and work together to help reimagine the future through automated solutions.
</p><p>At OPEX, we are Next Generation Automation.
</p><p><b>Benefits:
</b></p><p>Benefits include, but are not limited to:
</p><p></p><ul><li>Full medical, dental and vision with low employee contribution rates
</li><li>Paid holidays and PTO allowance
</li><li>401k with matching and profit sharing
</li><li>Basic life insurance, short term and long-term disability
</li>Tuition reimbursement available<br>
<li>
</li></ul><p></p><br>
<p><b>OPEX Corporation is an Equal Opportunity/Affirmative Action Employer, without regard to race, color, religion, sex, national origin, age, disability, and protected veteran status.</b></p></div>

Account Executive - Northern CA, Northern NV, OR and WA

Witbe

<div>
 <p>
  <strong>
   Witbe
  </strong>
 </p>
 <p>
  Witbe (Euronext Growth &mdash; ALWIT) provides AI-powered test automation and real-time monitoring solutions for the world's leading video service providers. Our Witbox robots replicate real user behavior on real devices to test, monitor, and analyze video app quality &mdash; with actionable insights from Witbe's observability platform.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our latest breakthrough: Witbe Agentic AI, the industry's first agent-native test automation system for video QA. Autonomous agents plan, execute, and analyze tests at scale &mdash; adapting to UI changes, generating coverage from requirements, and continuously improving error detection. 25 years in operation. Trusted in 50+ countries. Offices in Paris, New York, Denver, San Francisco, and Montreal.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   You Know Their Names
  </strong>
 </p>
 <p>
  The broadcast network delivering live sports to over 100 million viewers. The telecom operator connecting a third of American households. The streaming services competing for every screen in every living room.
 </p>
 <p>
  <br/>
 </p>
 <p>
  They all run Witbe.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We don't build their apps. We make sure their apps work &mdash; on every device, in every market, for every viewer. Our AI-powered robots sit inside their infrastructure, testing video services the way a real user would: launching apps, navigating menus, playing content, catching failures that no one else sees.
 </p>
 <p>
  We need an engineer in San Francisco to work directly with these teams.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Description
  </strong>
 </p>
 <p>
  You're not a backend developer working on code that ships in six months. You're not coordinating workstreams from a spreadsheet. You're an engineer who deploys AI-powered test automation at major broadcast and telecom companies, and you deliver results in weeks, not quarters. You write Python test scripts using Witbe's native SDK, pair-programming with Claude Code and AI assistants to move fast. You deploy monitoring scenarios on real devices &mdash; set-top boxes, Smart TVs, streaming sticks, phones. You configure dashboards and alerts so the customer's team can see exactly where their video service needs attention. You present findings to their engineering teams, train them on the platform, and make them autonomous. You arrive with a system that already works. No blank-page discovery phase, no months of requirements gathering. You start with a configured platform producing real data, and you train the customer to use it effectively.cThis is a technical, customer-facing, delivery-driven role.
 </p>
 <ul>
  <li>
   Write code every day. Python is your primary tool. You'll use Witbe's SDK to script test automation scenarios, with AI coding assistants accelerating the work. You need to understand what the AI produces &mdash; classes, methods, logic &mdash; because you're responsible for production-quality output.
  </li>
  <li>
   Deploy and configure test environments &mdash; scenarios, dashboards, alarms, thresholds &mdash; tailored to each customer's video services.
  </li>
  <li>
   Analyze test results and turn raw data into insights: what's failing, why, how often, and what it means for the customer's video quality. You'll present these findings in Quarterly Business Reviews and regular check-ins.
  </li>
  <li>
   Train customer teams to operate the platform independently. The goal is building confident users, not long-term dependency.
  </li>
  <li>
   Travel to customer sites across the US and occasionally beyond (~20%) for deployments, training, and relationship building.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We're Looking For
  </strong>
 </p>
 <ul>
  <li>
   Technical and analytical. You can read, write, and debug Python. More importantly, you can look at a problem you've never encountered and reason your way through it.
  </li>
  <li>
   Autonomous. Witbe is 120 people with a flat structure &mdash; no management layers, no governance committees. Small teams that own their delivery. You need to be comfortable with real responsibility and minimal oversight.
  </li>
  <li>
   AI-literate. You'll use Claude Code and AI assistants daily to write production automation. You understand both the power and the limitations of AI-assisted development, and you know when to trust the output and when to rewrite it.
  </li>
  <li>
   Customer-facing. You're comfortable presenting technical findings to engineering teams at major broadcast and telecom companies. You explain complex results clearly and enjoy helping people get better at what they do.
  </li>
  <li>
   Curious. You'll learn how video streaming works end-to-end, how QoE differs from QoS, and how AI agents are transforming test automation. Genuine interest in the technology matters.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's or Master's in Computer Science, Software Engineering, IT, or related field.
  </li>
  <li>
   Working proficiency in Python &mdash; scripting, debugging, and reading code confidently.
  </li>
  <li>
   Strong English communication skills, written and spoken.
  </li>
  <li>
   Willingness to travel ~20%.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Strong Plus
  </strong>
 </p>
 <ul>
  <li>
   Experience in a customer-facing technical role (solutions engineering, consulting, implementation, technical support).
  </li>
  <li>
   Familiarity with data analytics and dashboards (Tableau, Power BI, or similar).
  </li>
  <li>
   Exposure to AI coding tools (Claude Code, GitHub Copilot, Codex) and understanding of their strengths and limits.
  </li>
  <li>
   Knowledge of network protocols (TCP/IP, streaming tech like HLS/DASH).
  </li>
  <li>
   Experience at a small or mid-size company where you wore multiple hats.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits
  </strong>
 </p>
 <ul>
  <li>
   Health insurance: Aetna medical coverage, 100% company-paid.
  </li>
  <li>
   Time off: 3 weeks PTO + 1 week sick leave in the first year.
  </li>
  <li>
   Retirement: 401(k) plan available.
  </li>
  <li>
   Growth: Career progression at Witbe is driven by impact, not tenure. Team members have expanded roles, changed functions, and moved internationally &mdash; based on what they delivered.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Witbe
  </strong>
 </p>
 <ul>
  <li>
   Most technical roles at this stage are either pure development with no customer contact, or customer-facing positions with no real technical depth. This role sits at the intersection: you write real code that runs in production at the companies delivering television to America, and you work directly with their engineering teams.
  </li>
  <li>
   You'll build hands-on experience with AI-assisted Python automation &mdash; a skill set the market is only beginning to value. The customer portfolio gives you exposure to the broadcast and telecom industry at the highest level.
  </li>
  <li>
   Witbe has been operating for 25 years. We're publicly traded (Euronext Growth &mdash; ALWIT), trusted in over 50 countries, and every person on the team has a direct impact on what we deliver. Not a startup burning cash, not a corporation where your work disappears into a backlog &mdash; a profitable technology company where what you do matters.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Test Automation Engineer

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