building engineer

Kasa

<div><div><h3 class="jobSectionHeader"><b>About Kasa</b></h3>
<p>
Kasa is the leading tech-enabled hotel and apartment hotel brand and manager. We partner with owners of multifamily and boutique hospitality properties to deliver stylish, professionally managed accommodations to business and leisure travelers alike. We took the best that hotels and short-term rentals had to offer and created a new class of hospitality that is well-priced, reliable, and offers a large selection of great locations.</p>
<p>
Unlike traditional hotel operators, we prioritize automation, AI-driven pricing, and data-driven decision-making to optimize revenue and improve guest experiences. Behind the scenes, we build technology that combines with our innovative operations to grow a globally scalable offering that delivers high-quality stays to guests. Our guests enjoy seamless check-ins, caring service, and attractive amenities &mdash; and if anything comes up, our on-site and remote guest experience team is available throughout their stay, ensuring our hospitality is rarely seen but always felt.</p></div><p><b>
Location:</b> Kasa Commons.</p>
<p><b>
Time Commitment:</b> approximately 32-40 hours</p>
<h3 class="jobSectionHeader"><b>
The Role</b></h3>
<p>
Kasa is seeking a Building Engineer who will be responsible for providing specialized support for all building systems maintenance and facility operations of our Boston Market. This includes a focus to identify equipment reliability opportunities and improving upon quality. This role will demand time spent on the ground &quot;living the business&quot; with extreme detail orientation, but will also require analytically rigorous strategic thinking to guide the Kasa leadership teams.</p>
<p>
This role will report to the Operations Manager and work closely with the Boston Portfolio team.</p>
<h3 class="jobSectionHeader"><b>
About the Team</b></h3>
<p>
This role is in our Portfolio Operations department. Our mission is to ensure our guests have a seamless in-unit experience. Our team members are located all over the country, have diverse backgrounds, and come from many different industries. Everyone joined Kasa because they are passionate about delivering high-quality standards to ensure that our guests love their experience while staying with Kasa.</p>
<h3 class="jobSectionHeader"><b>
Day in the life of a Kasa Building Engineer</b></h3>
<p>
Like any Ops role, you should expect to have a number of competing priorities in a given day or week. This position relies on experience and judgment to plan and accomplish goals with a wide degree of autonomy, creativity, and cost-effectiveness.</p>
<h3 class="jobSectionHeader"><b>
Responsibilities</b></h3>
<ul><li>Actively provide technical engineering support for the on-site team regarding the operation, improvements, replacements, and/or upgrades for building systems and equipment.</li>
<li>Identify and recommend potential building systems-related projects.</li>
<li>Lead efforts involving preventative maintenance requirements, process improvements, standards review and troubleshooting, equipment selection, and service vendors.</li>
<li>Direct capital projects such as major design changes, performance and process improvement changes, and reliability analysis and related improvements.</li>
<li>Assist the Boston Operations Manager with reviewing price quotes for the procurement of parts, services, and labor for ongoing property maintenance and special projects.</li>
<li>Understand existing elevator and fire/life safety systems maintenance, making recommendations for process or capital improvements, and assisting in project management of modernization of any of these systems.</li>
<li>Maintain records related to property permits, licenses and environmental requirements.</li>
</ul><h3 class="jobSectionHeader"><b>Experience</b></h3>
<ul><li>Minimum 4 years of experience providing facilities support in the commercial, multi-family, or hospitality industry</li>
<li>Strong working knowledge of all building systems including but not limited to MEP, commissioning, life and fire safety, elevator modernization, HVAC, and other centralized systems</li>
<li>You are data-driven, with metrics on your mind, and have the ability to interpret and analyze financial and non-financial data</li>
<li>You have a high level of independence and can make thoughtful decisions, even in fast-paced and ambiguous operating environments</li>
<li>You are obsessive about clear documentation of learnings, and always approach a problem with the mindset of how you could scale the solution to 100x the size</li>
<li>You communicate with clarity and empathy and can deliver impactful presentations to both senior business leaders as well as daily operations staff</li>
<li>You have excellent time management skills and enjoy juggling multiple time-sensitive projects at the same time</li>
<li>You're comfortable lifting items up to 50 pounds</li>
<li>You can handle stressful situations with a calm and positive demeanor</li>
<li>Travel is part of your DNA and you have a passion for the real estate, tech, and hospitality industry</li>
</ul><h3 class="jobSectionHeader"><b>Plus if...</b></h3>
<ul><li>You've worked for small and large enterprise companies</li>
<li>You have familiarity with the Short Term Rental (STR) industry</li>
</ul><h3 class="jobSectionHeader"><b>In one year, you will succeed at Kasa by having:</b></h3>
<ul><li>Become an invaluable resource to our team regarding property facilities operation and upkeep</li>
<li>Earned the trust of cross-department leaders and managers to be a valued and reliable partner for Kasa's experimental property efforts</li>
<li>Established at least one new tool or process that increased Kasa quality standards</li></ul><br>
<p></p>
<h3 class="jobSectionHeader"><b>
Curious about the Kasa experience? Save 15% when you book on </b><b>kasa.com</b></h3><br>
<p></p>
<h3 class="jobSectionHeader"><b>
Benefits</b></h3>
<ul>
<li><p><b>Kasa Travel Credit:</b> We love to travel! Kasa employees get an allowance of free stays with us in any of our locations, plus a discount on any night for friends and family.</p>
</li>
<li><b>The Pay:</b> The starting base pay for this role is $70,000 and is set based on multiple considerations, including business needs, market demands, talent availability, experience, and unique skills and attributes. The base pay range is subject to change and may be modified. This role may also be eligible for equity, bonus, perks, benefits, and Kasa Travel Credits.</li>
<li>
<p><b>Paid Time Off:</b> Full-time hourly Kasa employees accrue paid time off at a generous rate that increases with tenure.</p>
</li>
<li><p><b>Health Coverage:</b> We've invested in comprehensive health insurance options to help when you need it most, including a company-sponsored plan with fertility coverage.</p></li></ul><br>
<h3 class="jobSectionHeader"><b>
</b></h3><div><p><i>Kasa is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by law. All employment is decided based on qualifications, merit, and business need.</i></p>
<p><i>
Kasa is an E-Verify participant. We will verify the identity and employment eligibility of all persons hired to work in the United States by matching information employees provide on the Form I-9 against records available to the Social Security Administration (SSA) and the Department of Homeland Security (DHS). You may find more information </i><i>here</i><i> and </i><i>here</i><i>.</i></p>
<p><i>
Kasa does not accept unsolicited resumes from individual recruiters or third party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or People &amp; Talent team.</i></p>
<h3 class="jobSectionHeader"><b>
A Note on Recruiting &amp; Job Scams</b></h3>
<p><i>
The Kasa Talent Acquisition team will only communicate from email addresses that use the URLs </i><i>kasa.com</i><i> and </i><i>us.greenhouse-mail.io</i><i>. We will not use apps such as Facebook Messenger, WhatsApp, or Google Hangouts for communicating with you. We will never ask you to send us money or technology to work for our company. If you believe you are a scam victim, please review your local government consumer protections guidance and reach out to them directly. US-based applicants may refer to this </i><i>article </i><i>from consumer.ftc.gov for more details.</i></p></div></div>

Building Maintenance Engineer

Kearney

<div><h3 class="jobSectionHeader"><b>Job Description</b></h3><p></p><div><h2 class="jobSectionHeader"><b>
To apply please mail your resume to the </b><b>Cervello</b><b> office at: </b><b>155 Seaport Blvd Floor 2 Boston, MA 02210</b></h2><p><b>
Sr. Data Engineer (Boston MA) wanted for business analytics and planning co. Requires </b><b>Masters in Computer Science or Electrical Engineering</b><b>. Remote employment possible, work from anywhere.</b></p></div><p></p><div><p><b><br>
To apply please mail your resume to the </b><b>Cervello</b><b> office at: </b><b>155 Seaport Blvd Floor 2 Boston, MA 02210</b></p><p></p><p><br>
Sr Data Engineer base salary range: $140,130 - $160,000. It is important to note that at Cervello, Inc. it is not typical for an individual to be hired at the top of the range for their role. Individual salaries within each range are determined through a wide variety of factors, including but not limited to education, experience, knowledge, and skills. Cervello, Inc. reviews compensation regularly and may adjust base salaries to reflect market competitiveness. In addition to salary, individuals may be eligible for a discretionary performance bonus. Our full suite of benefits includes paid time off, paid sick leave, 401(k) match and profit sharing, medical, dental, and vision coverage, healthcare concierge services, backup child/adult care, annual employer HSA contributions, a home office stipend, subsidized gym membership, an annual wellness program, and leaves of absence when needed to support employees&rsquo; physical, mental, and emotional well-being.</p></div><div></div><div><div><br>
Equal employment opportunity and non-discrimination</div></div><div><div>
Cervello, Inc. prides itself on providing a culture where our employees belong and thrive equally, which means our people feel comfort, confidence, and joy as they do great things for our firm, our colleagues, and our clients. That&rsquo;s why Cervello, Inc. is committed to building a diverse workforce and inclusive environment. Cervello, Inc. is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person&rsquo;s gender identity or expression, sexual orientation, race or ethnicity, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information, or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities or religious beliefs and practices. We encourage everyone to apply, including those who may not feel historically represented in consulting. #LI-DNI</div></div><div></div><div><p><b><br>
Job ID number: CE01</b></p></div></div><p></p>

Sr. Data Engineer

Plymouth Rock Assurance

<div><p>We are seeking a highly skilled AI Engineer to design and build Generative and Agentic AI systems that transform how our company operates and serves customers. This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the enterprise for internal and customer facing use cases.</p>
<p>
</p><p>The ideal candidate has strong experience with a modern AI/ML stack, including a profound Python experience, including AI relevant packages and tools, LLM architectures and frameworks, RAG, MCP, prompt engineering, use of AI tools, budling teams of AI agents, and production-grade AI systems design and development.
</p><p>You will work closely with technology, data, and business teams to build scalable AI solutions that drive operational efficiency and innovation across the enterprise.</p>
<p>
</p><p><b>Key Responsibilities:</b></p>
<ul>
<li>Design, build, and deploy scalable LLM-powered applications, solutions, and digital products for customer support, business use cases, and internal productivity.</li>
<li>Develop AI agents, Agentic Platforms, and Agentic AI systems capable of reasoning, planning, and executing multi-step workflows.</li>
<li>Implement Retrieval-Augmented Generation (RAG) architectures and pipelines to leverage proprietary data, and internal knowledge bases.</li>
<li>Build MCP servers, multi-connectivity enabled and multi-modal Agentic platforms, and AI assistants to support internal teams and customer facing.</li>
<li>Integrate AI/ML solutions with enterprise systems, APIs, and data platforms.</li>
<li>Design prompt strategies, evaluation frameworks, and guardrails to ensure accuracy, security, and regulatory compliance.</li>
<li>Optimize LLM performance through fine-tuning, prompt engineering, and model orchestration.</li>
<li>Develop MLOps and LLMOps pipelines for monitoring, evaluation, and continuous improvement of AI systems.</li>
<li>Help in forming buy or build decisions and work with external vendors, consultants and internal teams to deliver scalable top-quality AI solutions timely.</li>
<li>Stay up to date with emerging advancements in AI/ML, Generative AI, Agentinc frameworks, and model architectures.<b>
</b></li></ul><p><b>Required Qualifications:</b></p>
<ul>
<li>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, or related field.</li>
<li>5+ years of software engineering experience, including work with machine learning (ML) or AI systems.</li>
<li>Hands-on experience building LLM-powered applications in production environments.</li>
<li>Strong programming skills in Python, and familiarity with AI/ML relevant packages such as NumPy, Pandas, SciPy and Scikit-learn.</li>
<li>Experience with LLM ecosystems such as:</li>
<li><ul><li>OpenAI / Anthropic / Google, Open-source LLMs</li>
<li>Hugging Face</li>
<li>LangChain, LlamaIndex, or similar orchestration frameworks</li>
</ul></li><li>Experience building RAG pipelines and working with vector databases.</li>
<li>Understanding of prompt engineering, embeddings, and model evaluation.</li>
<li>Experience building APIs, MCPs, and scalable backend services.</li>
<li>Experience with Claude Code, Codex, Cursor, GitHub Copilot, or similar.</li>
<li>Ability to collaborate with cross-functional teams.</li>
<li>Passion for technology and AI.</li>
</ul>
<p><b>Preferred Qualifications:</b></p>
<ul>
<li>Experience building AI agents, agentic platforms, or autonomous workflows.</li>
<li>Familiarity with agent frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel, Frontier, etc.).</li>
<li>Experience with fine-tuning LLMs or parameter-efficient training methods (LoRA, PEFT).</li>
<li>Experience with cloud-based AI infrastructure (AWS, Azure, or GCP).</li>
<li>Familiarity with Java, JS, and Java applications and environments.</li>
<li>Experience with MLOps / LLMOps tools and evaluation pipelines.</li>
<li>Experience implementing AI governance, observability, and guardrails.</li>
</ul>
<p><b>Salary Range:
</b></p><p>The pay range for this position is $135,000 to $200,000 annually. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.
</p><p></p><p><b>Perks and Benefits:</b></p>
<ul>
<li>4 weeks accrued paid time off + 9 paid national holidays per year</li>
<li>Free onsite gym at our Boston Location</li>
<li>Tuition Reimbursement</li>
<li>Low cost and excellent coverage health insurance options that start on Day 1 (medical, dental, vision)</li>
<li>Robust health and wellness program and fitness reimbursements</li>
<li>Auto and home insurance discounts</li>
<li>Matching gift opportunities</li>
<li>Annual 401(k) Employer Contribution (up to 7.5% of your base salary)</li>
<li>Various Paid Family leave options including Paid Parental Leave</li>
<li>Resources to promote Professional Development (LinkedIn Learning and licensure assistance)</li>
<li>Convenient location directly across from South Station and Pre-Tax Commuter Benefits</li>
</ul>
<p>About the Company</p>
<p><i>
The Plymouth Rock Company and its affiliated group of companies write and manage over $2.3 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of &ldquo;A-/Excellent&rdquo;</i></p>
<p>
#LI-SM1</p></div><p></p>

Sr. Artificial Intelligence Engineer

West Monroe

<div><div><p><b>Are you ready to make an impact?</b></p></div><p></p><div>
<h3 class="jobSectionHeader"><b>
Applied AI Engineer/Architect</b></h3>
<p>
West Monroe is seeking an <b>Applied AI Engineer/Architect</b> to lead the design and delivery of enterprise AI solutions that solve complex business challenges. This role serves as the technical AI leader across client engagements and West Monroe assets, defining AI architectures, guiding implementation teams, and helping clients make informed decisions about when to leverage large language models (LLMs), deterministic automation, platform-native AI capabilities, or traditional software engineering approaches. As a Senior Architect, you will provide deep technical expertise, contribute to business development efforts, and help advance West Monroe's AI capabilities through reusable assets, thought leadership, and mentorship.</p>
<h2 class="jobSectionHeader"><b>
What You Will Do</b></h2>
<h3 class="jobSectionHeader"><b>Client Delivery</b></h3>
<ul><li>Lead the architecture and delivery of enterprise AI solutions, including model selection, retrieval strategies, workflow orchestration, evaluation frameworks, observability, guardrails, and human oversight.</li>
<li>Design and implement AI-enabled applications using LLMs, agents, retrieval augmented generation (RAG), tool integrations, and secure production deployment patterns.</li>
<li>Define semantic models, ontologies, business objects, metadata strategies, permissions, and data contracts that enable reliable AI reasoning and enterprise workflows.</li>
<li>Advise clients on AI strategy, technical feasibility, data readiness, model selection, governance, responsible AI practices, and implementation roadmaps.</li>
<li>Partner with application, data, and cloud engineering teams to integrate AI capabilities into production systems, APIs, data platforms, security architectures, and operational workflows.</li>
<li>Establish AI evaluation methodologies using benchmark datasets, regression testing, red-team scenarios, quality metrics, and release criteria to ensure reliable and measurable outcomes.</li>
<li>Leverage AI tools to accelerate analysis, synthesize complex information, and support data-driven recommendations for clients, exercising sound judgment in evaluating outputs.</li>
<li>Apply AI technologies (e.g., generative AI, automation tools, data models) to enhance insights, improve delivery efficiency, and elevate the quality of client outcomes.</li>
</ul><h3 class="jobSectionHeader"><b>Business Development</b></h3>
<ul><li>Serve as a trusted technical advisor during pursuits, helping shape AI strategy, solution architecture, and delivery approaches for complex client opportunities.</li>
<li>Support proposals, client presentations, and executive discussions by articulating AI capabilities, tradeoffs, risks, and business value.</li>
<li>Build credibility in the marketplace through deep expertise in enterprise AI architecture and emerging technologies.</li>
</ul><h3 class="jobSectionHeader"><b>Practice Development</b></h3>
<ul><li>Develop reusable AI frameworks, accelerators, evaluation methodologies, and reference architectures that strengthen West Monroe's AI offerings.</li>
<li>Mentor engineers and architects while sharing technical expertise across project teams.</li>
<li>Stay current on frontier AI models, enterprise agent architectures, hyperscaler AI platforms, governance expectations, and secure deployment practices.</li>
<li>Contribute to thought leadership, internal capability building, and innovation initiatives that expand West Monroe's Applied AI practice.</li>
</ul><h2 class="jobSectionHeader"><b>What You Will Bring</b></h2>
<ul><li>7+ years of experience in software engineering, data engineering, machine learning, applied AI, or technical architecture, including recent hands-on AI engineering experience.</li>
<li>Proven experience building production AI solutions using LLMs, AI agents, RAG, prompt engineering, AI evaluation frameworks, observability, MLOps, or machine learning platforms.</li>
<li>Strong Python development skills and proficiency in at least one additional enterprise technology stack such as TypeScript, Java, C#, or modern data engineering frameworks.</li>
<li>Experience with one or more leading AI ecosystems, including Azure OpenAI, AWS Bedrock, Google Vertex AI, Databricks, Snowflake, Microsoft Fabric, or comparable platforms.</li>
<li>Strong understanding of cloud architecture, APIs, identity and access management, security, data engineering, application integration, and production deployment practices.</li>
<li>Knowledge of semantic modeling, ontology design, knowledge representation, data governance, and enterprise AI architecture.</li>
<li>Ability to communicate AI concepts, technical tradeoffs, and implementation risks effectively to executive stakeholders, business leaders, architects, and engineering teams.</li>
<li>Experience integrating AI tools (e.g., ChatGPT) into day-to-day workflows to enhance productivity and insight generation, coupled with strong critical thinking to assess accuracy, mitigate bias, and ensure high-quality outputs.</li>
<li>Ability to travel 25 to 50%.</li>
<li>A commitment to inclusion and diversity, and openness to new ideas and perspectives.</li>
<li>Ability to work permanently in the United States without sponsorship.</li></ul><br>
<p></p>
<p>
</p></div><div><div><div><div><p>Based on pay transparency guidelines, the salary range for this role can vary based on your proximity to one of our West Monroe offices (see table below).<br>
<br>
Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company&rsquo;s 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses. Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year. Eligibility for ten weeks of paid parental leave will also be available upon hire date.</p></div></div><p>
Seattle or Washington, D.C.</p><p>
$236,300 - $277,700 USD</p></div><div><p>
Los Angeles</p><p>
$247,500 - $291,000 USD</p></div><div><p>
New York City or San Francisco</p><p>
$258,800 - $304,200 USD</p></div><div><p>
A location not listed above</p><p>
$225,000 - $264,500 USD</p></div></div><p></p><div><br>
<h3 class="jobSectionHeader"><b>
Other consultancies talk at you.</b><br>
<b>At West Monroe, we work with you.</b></h3>
<p>
We&rsquo;re a global business and technology consulting firm passionate about creating measurable value for our clients, delivering real-world solutions.</p>
<p>
The combination of business and technology is not new, but how we bring them together is unique. We&rsquo;re fluent in both. We know that technology alone is not the answer, but how we apply it is. We rely on data to constantly adapt and solve new challenges. Actions that work today with outcomes that generate value for years to come.</p>
<p>
At West Monroe, we zero in on the heart of the opportunity, getting to results faster and preparing people for what&rsquo;s next.</p>
<p>
You&rsquo;ll feel the difference in how we work. We show up personally. We&rsquo;re right there in the room with you, co-creating through the challenges. With West Monroe, collaboration isn&rsquo;t a lofty promise, but a daily action. We work together with you to turn vision into clear action with lasting impact.</p><br>
<p></p>
<p><b>
West Monroe</b><b> </b><b>is an Equal Employment Opportunity Employer</b><br>
We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit www.westmonroe.com/inclusion. If you require a reasonable accommodation to participate in our recruiting process, please inquire by sending an email to recruiting@westmonroe.com.</p>
<p>
Please review our current policy regarding use of generative artificial intelligence during the application process.</p>
<p>
If you are based in California, we encourage you to read West Monroe&rsquo;s Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here.</p></div></div>

Applied AI Engineer/Architect

ASUS COMPUTER INTERNATIONAL

<div></div><div><p><b>Job Description Overview:</b>
</p><p>The ASUS Robotics &amp; AI Center is seeking a Senior Computer Vision Engineer to join our global research and development team. This role focuses on building the perception systems that allow our UAVs and other autonomous platforms to understand and operate in complex, real-world environments.</p><p>
We are looking for a hands-on engineer with practical experience taking computer vision algorithms from prototype to production, a strong foundation in 3D geometry and multi-sensor data, and a passion for making the math, the algorithms, and the code work together on real hardware. The ideal candidate thrives at the intersection of computer vision, robotics, and embedded systems, and is motivated by the challenge of delivering robust perception under the constraints of real-world autonomy.</p><p><b>
Essential Duties and Responsibilities:</b><b>
</b></p><ul><li>Design, implement, and optimize computer vision algorithms for object detection, tracking, and visual recognition on UAVs and other autonomous platforms.</li><li>
Develop 3D perception capabilities, including visual odometry, depth estimation, structure from motion, and SLAM, to support real-time mapping and navigation.</li><li>
Build sensor fusion pipelines that integrate data from cameras, IMUs, GPS/GNSS, and other onboard sensors to produce accurate, low-latency situational awareness.</li><li>
Optimize algorithms for deployment on resource-constrained edge and embedded compute platforms.</li><li>
Characterize and quantify the performance of perception components through simulation, lab testing, and real-world field testing.</li><li>
Collaborate with robotics, software, and hardware teams to integrate perception components into the broader autonomy stack.</li><li>
Write clean, maintainable, and well-documented source code adhering to modern software development practices.</li><li>
Work in a cross-functional team that takes ownership of the full software lifecycle.</li></ul><div><b><br>
Knowledge and Skills:</b></div><br>
<div></div><ul><li>
Familiarity with classical computer vision techniques and libraries (e.g., OpenCV) and with multi-sensor data integration (e.g., cameras, IMU, GPS/GNSS, LiDAR).</li><li>
Strong fundamentals in linear algebra, probabilistic inference, and 3D geometry.</li><li>
Proficiency in C++ and Python, with a commitment to writing clean, well-architected code.</li><li>
Understanding of software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.</li><li>
Experience deploying perception software on embedded or edge compute platforms (e.g., NVIDIA Jetson) is strongly preferred.</li><li>
Experience with robotics, autonomous systems, or real-time perception applications is a plus.</li><li>
Familiarity with GPU/CUDA programming for accelerated vision processing is a plus.</li><li>
Flexibility to attend virtual meetings with the Taiwan-based team at least three nights per week.</li><li>
Excellent written and verbal communication skills.</li><li>
Ability to work confidently in a rapidly changing, fast-paced and results-oriented corporate environment where a high degree of flexibility is required</li></ul><div><b><br>
</b></div><p><b>Required Qualification</b><b>s</b><b>:
</b></p><p><b>Years of Education
</b></p>Bachelor's degree or higher in computer science, electrical engineering, robotics, or a related field.<br>
<ul><li>
</li></ul><p><br>
<b>Work Experience</b></p><ul><li>
5+ years of industry experience developing and deploying computer vision or perception software.
</li><li>Hands-on experience with one or more of: visual odometry, SLAM, structure from motion, multi-view geometry, or 3D reconstruction.</li><li>
Practical experience with object detection, tracking, or segmentation, including training and deploying deep learning models using frameworks such as PyTorch or TensorFlow.</li></ul><p><b><br>
Working Conditions</b><b>:</b>
</p><ul><li>Typically working in an office environment</li><li>
This is an IN-OFFICE position in Boston, MA (3 days in office / 2 days work from home)</li><li>
Requires sitting, operating a computer keyboard, telephone and other office equipment for extended periods of time</li><li>
Travel requirements: 10%<i> travel</i><i>, domestic/international</i></li></ul><div></div><div><i><br>
$164,000 - $237,000</i><i> annually is the estimated pay range for this role working in </i><i>Boston</i><i>, </i><i>Massachusetts</i><i> office. The final amount will be determined based on qualifications &amp; experience of the candidate relative to the role. Our </i><i>comprehensive employee</i><i> benefits include bonuses, medical, dental, vision, life insurance, AD&amp;D insurance, Paid Time Off, EAP, &amp; 401(k).</i><br>
<br>
<i>ASUS is an equal employment opportunity employer. The Company makes employment decisions without regard to race, color, religion, sex, gender, pregnancy/ breastfeeding, medical conditions related to pregnancy or childbirth, sexual orientation, age, national origin or ancestry, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, as well as any other characteristic protected by law, regulation or local ordinance, and strives to comply with all applicable laws on the subject. These employment decisions extend to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment, pay and other forms of compensation, training and other terms and conditions of employment.</i></div><p></p><p><b><br>
About the ASUS Robotics &amp; AI Center</b></p><p>
The ASUS Robotics &amp; AI Center is a world-class research and development laboratory that was established with the mission of developing ambitious technologies that will define the future. Our multidisciplinary team of the brightest engineers and scientists is dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence.</p><p>
 <b>More About ASUS</b></p><p>
ASUS is a global technology leader that provides the world&rsquo;s most innovative and intuitive devices, components, and solutions to deliver incredible experiences that enhance the lives of people everywhere. With its team of 5,000 in-house R&amp;D experts, the company is world-renowned for continuously reimagining today&rsquo;s technologies. Consistently ranked as one of Fortune&rsquo;s World&rsquo;s Most Admired Companies, ASUS is also committed to sustaining an incredible future. The goal is to create a net-zero enterprise that helps drive the shift towards a circular economy, with a responsible supply chain creating shared value for every one of us.</p></div>

Senior Computer Vision Engineer

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><p><b>
Position Summary</b><br>
We're looking for a Lead Director of Software Engineering who thinks like a founder, executes like a principal engineer, and leads like someone who's done it at the highest levels of the industry. You will set the bar &mdash; and then raise it.</p><p>
What You'll Actually Do</p><ul><li><b>
Drive technical strategy</b> across a multi-team engineering organization (50&ndash;150+ engineers), setting architectural standards, defining engineering excellence benchmarks, and personally reviewing and elevating the work.</li><li><b>
Operational Efficiency.</b> Every system design decision you make should start with the question: <i>How to create10x leverage?</i> You will actively embed LLMs, generative AI, agentic workflows, and ML-powered automation into the engineering lifecycle, not just as experiments, but as production-grade differentiators.</li><li><b>
Own delivery at velocity.</b> You ship. You are accountable for outcomes, not roadmaps. You hold your teams to the same standard.</li><li><b>
Partner at the executive level</b> &mdash; with Product owners, Data Engineers, and Health care business leaders &mdash; translating business strategy into engineering bets with precision and conviction.</li><li><b>
Be the technical voice in the room</b> You call out architectural debt, push back on infeasible timelines, and advocate for the right engineering investment.</li></ul><p></p><p><b>
Required Qualifications</b></p><ul><li><b>
10+ years of progressive software engineering experience</b>, including 5+ years leading large-scale engineering organizations. You have built and scaled systems that serve tens of thousands of users. You know what happens when your system goes down.</li><li><b>
Deep, hands-on technical foundation</b> in distributed systems, cloud-native architectures, and modern backend engineering at scale.</li><li><b>
Proven AI platform ownership.</b> You have deployed production AI systems - not POCs, not demos, not limited to prompt engineering. You understand model deployment pipelines, vector databases, RAG architectures, LLM orchestration, inference optimization, and responsible AI principles.</li><li><b>
Track record of engineering transformation.</b> You have migrated monoliths to microservices, modernized legacy platforms under real business pressure, and lived the consequences of every architectural decision you've made.</li></ul><p><b><br>
Preferred Qualifications</b></p><ul><li><b>
Healthcare or highly regulated domain experience</b> &mdash; You have navigated HIPAA, CMS compliance, PHI data handling development.</li><li><b>
Platform engineering ownership</b> &mdash; You have built or led internal developer platforms, engineering productivity tooling.</li></ul><p><b>
Education</b></p><p>
Minimum</p><ul><li><b>
Bachelor's degree</b> in Computer Science, Software Engineering, Mathematics, or a closely related technical discipline &mdash; <i>or</i> equivalent demonstrated engineering depth through work history, open source portfolio, or verifiable technical contribution at scale.</li></ul><p>
Preferred</p><ul><li><b>
Master's degree (M.S. or M.Eng.)</b> in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. Graduate-level training in algorithms, distributed systems, statistical learning, or systems design gives us confidence in your technical ceiling.</li></ul><p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$144,200.00 - $288,400.00<p><br>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.</p><br>
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.<p><br>
Additional details about available benefits are provided during the application process and on Benefits Moments.</p><br>
We anticipate the application window for this opening will close on: 10/02/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Lead Director, Software Engineering

Emburse

<div><div><div><b>Who We Are:<br>
</b></div><div></div><br>
<div>At Emburse, you&rsquo;ll not just imagine the future &ndash; you&rsquo;ll build it. As a leader in travel and expense solutions, we are creating a future where technology drives business value and inspires extraordinary results. Our AI-powered platform helps organizations modernize financial operations, increase visibility, and optimize spend across the enterprise.</div><div></div><div><br>
We are looking for a <b>Salesforce Technical Architect</b> with a deep, proven specialization in <b>Salesforce CPQ &amp; Billing</b> to serve as the master builder of our global revenue engine. In a high-growth, private-equity-backed SaaS environment, our CPQ infrastructure directly impacts our business velocity and speed-to-market. Reporting directly to the <b>Director of Business Systems</b>, you will move beyond simple administration to own the long-term architectural roadmap for our entire quote-to-cash ecosystem. If you thrive on dismantling legacy CPQ technical debt and building pristine, scalable pricing and billing models from scratch, we want to talk to you.</div></div>
<div><div><h3 class="jobSectionHeader"><b>What You Will Do
</b></h3><div><div><ul><li><b>Architect the CPQ Engine:</b> Drive the long-term technical roadmap for Salesforce CPQ &amp; Billing, prioritizing platform performance, data integrity, and multi-year scalability.</li>
<li><b>Own the Revenue Engine:</b> Design, optimize, and maintain complex Lead-to-Cash and Quote-to-Cash workflows, ensuring seamless product configuration and accurate pricing structures.</li>
<li><b>Lead Enterprise Integrations:</b> Architect robust, scalable integrations between Salesforce CPQ, back-office ERP systems, and downstream financial systems using custom APIs and middleware platforms.</li>
<li><b>Establish Governance:</b> Set and enforce the &quot;gold standard&quot; for our development lifecycle, including coding standards (Apex/LWC), branching strategies, and CI/CD pipelines for configuration data.</li>
<li><b>Triage Technical Debt:</b> Proactively audit our existing CPQ ecosystem, identifying architectural gaps or redundant rules, and proposing pragmatic modernization strategies that keep revenue moving.</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>What You Will Bring
</b></h3><div><div><ul><li><b>CPQ &amp; Billing Specialization:</b> Extensive, hands-on experience architecting and implementing <b>Salesforce CPQ and Billing</b> workflows within a high-volume SaaS or Fintech environment.</li>
<li><b>Proven Architecture Track Record:</b> 7+ years of experience within the Salesforce ecosystem, with at least 3 years explicitly operating in a Technical Architect or Principal Engineer capacity.</li>
<li><b>Technical Mastery:</b> Expert-level proficiency writing and reviewing Apex, Lightning Web Components (LWC), SOQL, and designing complex security models to extend CPQ capabilities.</li>
<li><b>Integration Expertise:</b> Strong background designing REST/SOAP APIs and working with enterprise integration architecture to sync financial data seamlessly.</li>
<li><b>Advanced Certification (Preferred):</b> Holds Salesforce CPQ Specialist, System/Application Architect designations, or multiple advanced Designer certifications.</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Who You Are
</b></h3><div><div><ul><li><b>A CPQ Subject Matter Expert:</b> You live and breathe product bundles, price rules, discount schedules, and MDQ. You know exactly where the platform breaks and how to scale it safely.</li>
<li><b>A Pragmatic Problem Solver:</b> You understand that in a PE-backed company, business velocity matters. You know when to utilize out-of-the-box CPQ functionality and when it&rsquo;s time to write custom code.</li>
<li><b>A Technical Leader:</b> You aren't just a theorist. You enjoy performing deep-dive code and configuration reviews, mentoring developers, and setting clear quality gates.</li>
<li><b>An Excellent Communicator:</b> You easily translate complex technical debt or CPQ limitations into clear business risks for leadership and non-technical stakeholders.</li>
</ul></div></div></div></div><div><div><b>Why Emburse?</b></div><div></div><div><br>
Finance is changing&mdash;and at Emburse, we&rsquo;re leading the way. Our AI-powered solutions help organizations eliminate inefficiencies, gain real-time visibility, and optimize spend&mdash;so they can focus on what&rsquo;s next, not what&rsquo;s slowing them down.
</div><ul><li>A Company with Momentum &ndash; We serve 12M+ users across 120 countries, helping businesses modernize</li></ul><div>
 their finance operations.</div><ul><li>A Team That Innovates &ndash; Work alongside some of the brightest minds in finance, tech, and AI to solve real-</li></ul><div>
 world challenges.</div><ul><li>A Culture That Empowers &ndash; Competitive pay, flexible work, and an inclusive, collaborative environment that</li></ul><div>
 supports your success.</div><ul><li>A Career That Matters &ndash; Your work here drives efficiency, innovation, and smarter financial decision-making
 </li></ul><div>for businesses everywhere.</div><div></div><div><b><br>
Shape your future &amp; find what&rsquo;s next at Emburse.</b></div><div></div><div><br>
Emburse provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Emburse complies with applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities. This policy applies to all terms and conditions of employment.</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.</div></div></div>

Salesforce Technical Architect (CPQ Specialization)

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