software engineer

software engineer, frontend Jobs in New York

software engineer, frontend

2026 phd software engineer intern (machine learning), united states Jobs in New York

2026 phd software engineer intern (machine learning), united states

senior software engineer, full-stack Jobs in New York

senior software engineer, full-stack

software engineer - all levels Jobs in New York

software engineer - all levels

software engineer intern

Dandy

<div>
 Dandy is transforming the massive and antiquated dental industry&mdash;an industry worth over $200B. Backed by some of the world&rsquo;s leading venture capital firms, we&rsquo;re on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world&mdash;empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients.
 <br/>
 <br/>
 <strong>
  About Dandy
  <br/>
  <br/>
 </strong>
 Dandy is a fast-growing health-tech startup transforming the $400B dental industry through groundbreaking advances in Generative AI and robotics. We reached our first $100M in revenue in under two years&mdash;faster than companies like Uber, Slack, and Shopify&mdash;and our rapid growth has continued over the past two years. The company is backed by top-tier investors including Human Capital, Primary, Greenoaks, and General Catalyst.
 <br/>
 <br/>
 We&rsquo;ve built the largest ML, CAD, and product/platform engineering teams in dentistry, drawing exceptional talent from leading organizations such as Google DeepMind, Amazon, and Waymo. Our full-stack engineers tackle complex challenges across platform architecture, supply-chain optimization, SaaS product development, and the core services that power our end-to-end dental workflows.
 <br/>
 <br/>
 At Dandy Engineering, you will
 <br/>
 <br/>
 <ul>
  <li>
   Build and scale the core backend services that power ordering, case management, real-time lab workflows, and the customer-facing web apps used by thousands of dentists.
  </li>
  <li>
   Design and ship end-to-end product features- from API to UI, that improve reliability, speed, and usability across Dandy&rsquo;s dentist and internal operator experiences.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Dandy Internship
  <br/>
  <br/>
 </strong>
 Internships will be in-person in our downtown Manhattan office with opportunities to learn directly from our Co-Founders, Head of Engineering, and other members of the engineering leadership team. Our internship offers
 <strong>
  equity
 </strong>
 , and provides the opportunity to convert to a full-time role.
 <br/>
 <br/>
 <strong>
  About Product + Platform Engineering
  <br/>
  <br/>
 </strong>
 Are you excited by building fast, reliable, and scalable systems that power real products used every day? Our Platform and Product Engineering teams own the core services and experiences that run Dandy&rsquo;s business - from backend systems that keep orders flowing, to the web apps dentists rely on, to the internal tools that keep our labs and operations moving at speed. You&rsquo;ll work across modern stacks, ship code that immediately reaches customers, and tackle problems that sit at the intersection of software, data, and real-world manufacturing. Join a team where you&rsquo;ll build, iterate, and ship products that directly shape the dentist and patient experience while enabling Dandy&rsquo;s rapid growth.
 <br/>
 <br/>
 For full-time positions, Dandy offers a wide range of best-in-class, comprehensive, and inclusive benefits tailored to each country where we operate. Our local benefits packages typically include healthcare, dental, mental health support, parental planning resources, retirement savings options, and generous paid time off&mdash;ensuring our team members are supported no matter where they live and work.
 <br/>
 <br/>
 Dandy is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics.
 <br/>
 <br/>
 Dandy also fully complies with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. If you require any accommodations for your interview or have any questions beforehand, rest assured that we will do everything we can to meet your needs. Visit Dandy Careers for more!
</div>


Software Engineer, Intern

Uber

<div>We're looking for PhD candidates in the machine learning and optimization domain to intern with a variety of teams during summer 2026 (12 weeks). You will be embedded in an engineering team and work closely with other specialists, data scientists, and product managers. As a PhD intern, you will work on an exciting yet bold problem independently, under the supervision of an experienced engineer on that team.
<br>
<br>
<b>About the Role
</b><br>
<br>
At Uber, we work on many ambitious engineering products covering many lines of business as well as the underlying platform technologies that power those businesses. We foster growth and increase profitability of Uber by pushing the frontiers of machine learning, constrained optimization, statistics, data science and economics and developing highly reliable and scalable platforms to accelerate Uber's impact on the transportation industry.
<br>
<br>
As a PhD software engineer intern, you will have a lot of opportunities to work with product managers, data scientists and, of course, engineers from different teams. You will have an opportunity to learn how to iterate over a product for greater success while demonstrating your area of expertise (machine learning, statistics, constrained optimization, distributed system, etc.). This is a unique opportunity to grow your skills with real-world experience and do highly impactful, yet fun work at the same time. It is an ambitious yet rewarding job!
<br>
<br>
<b>Team Options
</b><ul><li>The <b>Delivery Marketplace: Consumer and Courier Pricing, Matching and Logistics </b>is responsible for building the core technology across the delivery line of business including food delivery, grocery, and retail last mile. These include a diverse set of transformational projects and impactful products ranging from finding the optimal match between jobs and earners in the delivery space, to setting optimal prices for Eaters and Couriers. The organization is formed of talented teams of engineers and scientists working side by side on the state of the art innovations on the matching objective function, pricing algorithms, and promotions. To achieve these goals, we leverage big data tools and apply advanced machine learning models to drive top line and bottom line business outcomes.
</li><li>The <b>Trusted Identity org </b>inspires trust in the Uber business cycle through verified and authentic identities. The Account Integrity team prevents fake identities from operating on the platform, and ensures that accounts are not duplicated nor fraudulent to enhance accountability. The Identity Verification team ensures accounts are created by real humans by verifying their attributes. The Account Security team is responsible for defending account holders from fraud related to phishing and ATO (account takeover) attempts. The Device Intelligence team is responsible for collecting device signals that are critical for the other teams to reliably achieve their goals.
</li><li>The Uber <b>Risk engineering team </b>is tackling challenges related to fraud and abuse detection. Our work is crucial in maintaining the integrity of Uber's platform. The team employs advanced machine learning including LLMs and computer vision, knowledge graph, similarity search and reinforcement learning to monitor transactions, detect unusual patterns, and implement robust verification methods
</li><li>The <b>Mobility Matching team </b>at Uber plays a crucial role in developing and optimizing algorithms and systems that match supply (drivers) with demand (riders) in real-time. You will work on complex problems, leveraging data and build ML algorithms to ensure efficient and reliable marketplace matching. The team is broadly part of the Marketplace (PIMS) org, a central pillar to Uber's core technology which includes pricing, incentives/investments, matching, surge, etc. As the key brain of the company, we manage the complex dynamics of supply and demand, optimize dispatching algorithms, and continuously innovate to enhance the overall user experience for both riders and drivers. Improvements in these systems increase revenue in the hundreds of millions of dollars, and decrease wasted time of drivers and users. Your contributions will directly impact the experience of millions of users worldwide.
</li><li>The <b>Rider Pricing and Incentives team </b>at Uber plays a crucial role in developing and optimizing algorithms and systems that determine the trip prices, discounting and promotions for Uber riders worldwide. You will work on complex modeling, pricing and incentives targeting problems, leveraging data and building ML algorithms to ensure accurate and robust pricing models and successful pricing optimization outcomes. The team is broadly part of the Marketplace organization, a central pillar to Uber's core technology which more broadly includes pricing, incentives/investments, matching, surge, etc. As a key team within Uber, we manage the complex dynamics between short term optimized pricing and long-term optimized pricing, promotion targeting and continuously innovating to enhance the overall user experience for riders. Improvements in these systems increase revenue in the hundreds of millions of dollars, and positively impact the experience of millions of users worldwide, as well as their ability to get around in the world.
</li><li>Join our <b>Capacity Planning team </b>as a Ph.D. intern to drive the future of infrastructure resource management through advanced quantitative methods. You will be at the forefront of implementing our data-driven forecasting vision, moving away from reactive, manual processes to scalable, automated solutions that utilize predictive analytics and real-time utilization data. This is a high-impact opportunity to work with the Applied Science and Engineering teams on designing and optimizing the central intelligence systems for capacity planning. Your expertise will be crucial in developing granular, highly accurate resource forecasts, ensuring service reliability for unexpected demand, and making key decisions that directly influence financial accountability, operational agility, and optimal resource utilization across the entire platform.
</li><li>The <b>Autonomous Vehicles Cloud team </b>is dedicated to accelerating the autonomous vehicles industry to L4 by serving as a premier AV data leader. Recently, we announced a partnership with NVIDIA to jointly develop a data factory for autonomous vehicle development. The team includes engineers with diverse backgrounds in embedded software, cloud computing, batch data processing, and ML research. We are looking for talent passionate about autonomous vehicles and eager to make a significant impact.
</li><li>The <b>Marketplace Signals </b>team at Uber is responsible for building and optimizing foundational marketplace signals that power user experiences and drive marketplace efficiency. Our team ensures that key signals-such as eyeball ETA, spinner time, and supply reliability indicators-are leveraged effectively across various Uber products and levers, enabling data-driven decision-making and seamless coordination across different business functions.
</li><li><b>Applied AI </b>is a horizontal AI team at Uber partnering with product and platform teams across the company to deliver cutting-edge machine learning solutions for core business problems. The Computer Vision team in AppliedAI specializes in Generative AI, Foundation Model, and classical Computer Vision solutions, and the ML infrastructure needed to scale these systems in production.
</li><li><b>Fabric Controller </b>brings together platforms that keep large scale systems resilient and easy to operate, including Cadence and Repair Engine. Cadence is an open source workflow orchestration engine that manages distributed state, retries, scaling, and recovery so teams can focus on business logic while supporting mission critical workloads across many industries. Repair Engine detects, diagnoses, and remediates issues by correlating signals across infrastructure and application layers through an ingestion pipeline and statistical analysis. An ML engine is being developed to improve diagnostics by learning patterns from historic issues, reducing false positives, and incorporating broader context such as workload types and traffic trends. Together these systems strengthen reliability, automation, and operational efficiency across the stack.
</li></ul><b>What You'll Do
</b><ul><li>Drive exciting, ambitious, previously unsolved projects from end to end
</li><li>Develop novel algorithms that use Uber data at global scale
</li><li>Thrive in an environment with ambiguous product requirements
</li><li>Collaborate closely with product managers and data scientists
</li><li>Be motivated to independently own and drive projects forward
</li><li>Have a passion to make Uber better for our customers
</li></ul><b>Basic Qualifications
</b><ul><li>Currently enrolled in a Ph.D. program studying computer science, machine learning, data mining, artificial intelligence, constrained optimization, statistics, or a related quantitative field
</li><li>Candidates must have at least one semester/quarter of their education left following the internship
</li><li>Knowledge of underlying technical foundations of statistics, machine learning, optimization, systems, etc.
</li><li>Experience in one or more object-oriented languages, including C++, Java, Python, or Go
</li></ul><b>Preferred Qualifications
</b><ul><li>Ability to communicate effectively with both technical and business partners
</li><li>Experience in simplifying/converting business problems into technical problems
</li>Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation<br>
<li>
</li></ul><br>
<br>
For New York, NY-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Seattle, WA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For all US locations, you will also be eligible for various benefits.</div>

2026 PhD Software Engineer Intern (Machine Learning), United States

Valon

<div>
 <strong>
  About The Company
  <br/>
  <br/>
 </strong>
 Valon is building the AI-native operating system for regulated finance, starting with mortgage servicing.
 <br/>
 <br/>
 We're a Series C company backed by a16z, transforming industries that others have written off as too complex to innovate.
 <br/>
 <br/>
 Rather than build on top of broken legacy systems, we took a different approach: we built and operate our own mortgage servicing business managing $110+ billion in loans. This wasn't the end goal, it was how we deeply understood the complexity needed to build software that actually works in regulated industries.
 <br/>
 <br/>
 The results speak for themselves. We've transformed mortgage servicing from a 0% margin business into 60%+ margins while dramatically improving customer experience. Major enterprise contracts are now deploying across the industry.
 <br/>
 <br/>
 ValonOS is our unified platform that makes every process structured and programmable and it is perfectly positioned for the AI era. When everything flows through one system with rich data, AI agents don't just automate tasks, they continuously improve entire operations. Mortgage servicing is just the beginning of our vision to transform regulated industries and beyond.
 <br/>
 <br/>
 <strong>
  Engineering at Valon
  <br/>
  <br/>
 </strong>
 We are building the AI-native operating system for regulated finance&mdash;starting with mortgage servicing. Our system of record powers real operations at national scale, with $100B+ in loans, 500K+ customers, and AI agents executing real workflows. Our engineering team is here to power the software ecosystem to disrupt one of the most outdated and regulated spaces in the financial sector - the mortgage industry. We&rsquo;ve built out the foundation of a modern mortgage servicing platform that can accurately handle billions of dollars at scale, but we&rsquo;re just getting started. At Valon, we want you to do the best work of your life. You'll be surrounded by a tight-knit community of exceptional people from places like Stripe, Jane Street, Meta, and Google who care deeply about their work and each other. Our problem space is complex, but you&rsquo;ll get a lot of autonomy so that you can learn quickly, execute effectively, and deliver the highest level of business impact.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Learn new concepts and technologies quickly and apply them to challenging problems
  </li>
  <li>
   Design and build robust and extensible infrastructure to handle evolving and complex federal, state, and agency regulations
  </li>
  <li>
   Dive deep to understand the inner workings of a highly complex industry
  </li>
  <li>
   Work with Product and Design to define the best experience for our customers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideal Background
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   0-1 year of software engineering experience building quality software applications at scale
  </li>
  <li>
   Bachelor's degree in Computer Science or related field
  </li>
  <li>
   Strong communicator. Able to work cross-functionally to balance product and technical requirements
  </li>
  <li>
   Great at building scalable systems from scratch with a fast turnaround
  </li>
  <li>
   Experience with one or more of the following: web application development, mobile application development, building large-scale distributed systems, or infrastructure management
  </li>
  <li>
   Time management skills that will maximize efficiency in a fast paced startup environment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Base Compensation Band: $130,000-$155,000
  </li>
  <ul>
   <li>
    This Base Compensation pay range applies to our New York City located staff and may differ according to location.
   </li>
  </ul>
  <li>
   Compensation: competitive salary with a meaningful stake in the company via equity, and 401k plan
  </li>
  <li>
   Health &amp; well-being: we&rsquo;ll invest in your physical and mental well-being with comprehensive medical, dental, &amp; vision benefits
  </li>
  <li>
   Commuter benefits: We offer pre-tax deductions for public transportation, rideshare services, and parking expenses to make your commute more affordable and convenient.
  </li>
  <li>
   Grow together: Company wide orientation for you to successfully onboard and other learning &amp; development opportunities including regular review cycles that feature 360 degree feedback
  </li>
  <li>
   Play together: quarterly budgets for team and company outings. Use it for team swag, cooking classes, or team dinners!
  </li>
  <li>
   Generous time off: flexible paid time off, sick days, and 11 company holidays
  </li>
  <li>
   Baby bonding time!: 12 weeks off for both birthing and non-birthing parents - fully paid so you can focus your energy on your newest addition
   <br/>
  </li>
 </ul>
 <em>
  Throughout the interview process, please remember that emails will only be from
 </em>
 <em>
  valon.com
 </em>
 <em>
  emails. We won't ever be asking for any personally identifiable information during the interview process itself. Please reach out to talent@valon.com if you have any requests to verify the authenticity of an outreach.
  <br/>
  <br/>
 </em>
 <em>
  Valon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Valon makes hiring decisions based solely on qualifications, merit, and business needs at the time.
 </em>
</div>


Software Engineer - New Grad

T. Rowe Price

<div><div><div>At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.</div></div><div></div><div><div>
We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You&rsquo;ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you&rsquo;ll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity.</div></div><div></div><div><div>
Join us for the opportunity to grow and make a difference in ways that matter to you.</div></div><div></div><div>
Role Summary</div><div>
Positions are available in our New York City office or at our brand-new AI Engineering squad in Harbor Point, Baltimore, MD. Both locations offer the opportunity to collaborate with top talent, drive innovation, and make a real impact in asset management.</div><div>
Design, develop, and deploy autonomous AI systems as part of T. Rowe Labs&rsquo; AI Engineering team. Collaborate in cross-functional squads, contribute to the Build-Operate-Transfer process, and help scale responsible AI solutions across the enterprise.</div><div></div><div>
Responsibilities</div><ul><li>
Design, build, test, and deploy AI agents and intelligent systems for modern cloud-based, n-tier architectures.</li><li>
Partner with business stakeholders to develop agent-driven workflows that automate complex processes and generate actionable insights.</li><li>
Champion engineering excellence by applying best practices in AI development, continuous integration, and code quality.</li><li>
Contribute to projects on agent orchestration, prompt engineering, and real-time, data-driven automation.</li><li>
Manage technical debt and drive ongoing improvements in AI platforms and infrastructure.</li><li>
Proactively seek opportunities to apply AI agents for increased business value and operational efficiency.</li></ul><div></div><div>
Business Knowledge</div><ul><li>
Collaborate directly with business stakeholders to understand needs and priorities.</li><li>
Make technology decisions that support current and future business objectives and fiscal responsibility.</li><li>
Translate business requirements into effective technology solutions.</li></ul><div></div><div>
Qualifications</div><div>
Required:</div><ul><li>
BS or MS in Computer Science or a related technical field (or equivalent experience), with 2+ years of professional development experience in an object-oriented language (Java, Python, or JavaScript preferred).</li><li>
Hands-on experience with cloud-native architectures (AWS, Azure), containerized microservices, and agent frameworks.</li><li>
Strong analytical and problem-solving abilities.</li><li>
Commitment to quality via automated testing, code reviews, and continuous delivery.</li><li>
Results-driven with a passion for learning and staying current with emerging technologies.</li></ul><div></div><div>
Preferred:</div><ul><li>
Experience with React and/or Angular.</li><li>
Solid understanding of financial markets and financial instruments.</li></ul><div></div><div>
FINRA Requirements</div><div>
FINRA licenses are not required and will not be supported for this role.</div><div></div><div>
Work Flexibility</div><div>
This role is eligible for hybrid work, with up to three days per week from home.</div><div></div><div>
Base Salary Ranges</div><div>
Please review the job posting for the location of this specific opportunity.</div><div></div>
$95,000.00 - $162,000.00 for the location of: Maryland, Colorado, Washington and remote workers<br>
$104,000.00 - $178,000.00 for the location of: Washington, D.C.<br>
$118,000.00 - $202,000.00 for the location of: New York, California<div></div><div>
Placement within the range provided above is based on the individual&rsquo;s relevant experience and skills for the role. Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance.</div><div></div><div>
Commitment to Diversity, Equity, and Inclusion</div><div>
At T. Rowe Price, our associates are our greatest asset. We thrive because our company culture is built on inclusion and because we sustain a work environment where associates can bring their best selves to work every day. The backgrounds, talents, and experiences of our global associates allow us to embrace new ideas and perspectives that move our business priorities forward and enable us to deliver strong client outcomes. Here, you can expect equal opportunity and fair and consistent treatment for all.</div><div></div><div>
Benefits</div><div><div><div>
We value your goals and needs, at work and in life. As an associate, you&rsquo;ll be supported with resources, benefits, and work-life balance so you can thrive in ways that matter to you.</div></div><div></div><div><div><br>
Featured employee benefits to enrich your life:</div></div><div><ul><li><div>
Competitive compensation</div></li></ul></div><div><ul><li><div>
Annual bonus eligibility</div></li></ul></div><div><ul><li><div>
A generous retirement plan</div></li></ul></div><div><ul><li><div>
Hybrid work schedule</div></li></ul></div></div><div><div><ul><li><div>
Health and wellness benefits, including online therapy</div></li></ul></div><div><ul><li><div>
Paid time off for vacation, illness, medical appointments, and volunteering days</div></li></ul></div><div><ul><li><div>
Family care resources, including fertility and adoption benefits</div></li></ul></div><div></div><div><div><div><br>
Learn more about our benefits.</div></div></div></div><div></div><div>
T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, color, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.</div></div>

Software Engineer (NYC or Baltimore, MD)

CW Talent Solutions

<div>
 <p>
  <strong>
   Software Engineer (New York)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  CW Talent Solutions is partnering with a leading global quantitative firm to hire a Software Engineer for its technology team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Overview:
  </strong>
 </p>
 <p>
  Develop and maintain high-performance software systems. Collaborate with engineers and operations to optimise reliability, scalability, and efficiency across critical infrastructure.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, implement, and maintain robust software solutions.
  </li>
  <li>
   Analyse system performance and optimise code.
  </li>
  <li>
   Contribute across the full software development lifecycle.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Experience:
  </strong>
 </p>
 <ul>
  <li>
   5+ years C++/C development on Linux.
  </li>
  <li>
   Strong multithreading and distributed systems knowledge.
  </li>
  <li>
   Familiarity with system-level tools (gdb, perf, tcpdump, valgrind).
  </li>
  <li>
   Scripting experience (Python, Bash) is a plus.
  </li>
  <li>
   Prior exposure to high-performance or real-time systems advantageous.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Sean Sweeney
 </p>
 <p>
  📞 0044 3300 522 127
 </p>
 <p>
  📧 sean@cwtalentsolutions.com
 </p>
</div>


Software Engineer

Arcadis

<p></p><div><p>Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.</p>
<p>
We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world&rsquo;s most complex challenges and deliver more impact together.</p>
<p><b>
Role Description:</b></p>
<p>
We are seeking a Climate Adaptation Intern to join the Water Management Team in New York City for Spring 2026, starting in January. This position will be hired through CSM Engineering, a subconsultant to Arcadis, and will work directly with Arcadis staff who sit within the Water Management Practice of the Global Resiliency Group.</p>
<p>
The Water Management Practice&rsquo;s goal is to protect our natural environment and water resources while powering our world for future generations. Around the world, we&rsquo;re feeling the effects of climate change, rapid urbanization, and loss of biodiversity. The rate at which we&rsquo;re seeing large-scale, unforeseen events such as floods and wildfires is becoming more frequent.<br>
</p><p><b>Role Accountabilities:</b></p>
<p>
In the role of a Climate Adaptation Intern, you will take on a diverse range of tasks aimed at supporting planning and engineering studies for both existing and expanding clientele. This involves addressing challenges related to coastal protection, risk assessment, stormwater management, groundwater, benefit-cost analysis, environmental impact, funding, grant management, and social impact analysis, among other resilience needs. Collaboration is key, as you will work closely with integrated, multi-disciplinary teams comprising of planners, engineers, scientists, designers, and other professionals. This role will meet 2-3 days per week in-office for up to 20 hours per week during the semester and up to 40 hours per week during the summer.</p>
<p>
As a Climate Adaptation Intern, your duties will include the following:</p>
<ul>
<li>Conduct research and assist in drafting clear, well-organized report sections to support coastal resilience flood project implementation and environmental review requirements.</li>
<li>Simultaneous involvement in various project components, requiring your adeptness at multitasking.
</li><li>Developing maps and other graphic materials for inclusion in project presentations, reports, and community engagement materials.</li>
<li>Supporting public engagement, including tracking and organizing comments received.</li>
</ul>
<p>We are seeking a motivated, detail-oriented, highly organized individual with robust research, writing, and communication skills and a strong interest in supporting urban and coastal climate adaptation initiatives, including funding and implementation. The ideal candidate excels in both written and verbal communication, brings strong research capabilities, and demonstrates the ability to organize and present data effectively using tools such as Microsoft Excel and PowerPoint. Strong experience and comfort working in MS Office Software is essential for success in this role. Additionally, this position requires someone adept at managing multiple tasks simultaneously while collaborating seamlessly with multidisciplinary teams to drive successful project outcomes.</p>
<p>
You will support a growing base of projects related to risk assessment, climate adaptation, resilience planning, policy, project development, feasibility studies, and engineering design, as well as project funding and implementation with the support of one of the industry&rsquo;s leading technical and professional staffs.
</p><p>Periodic travel to New York City client sites, public meetings, or internal workshops is expected, further enriching your experience.
</p><p><b>Qualifications &amp; Experience:</b></p>
<p>
Required Qualifications
</p><ul><li>0-5 years&rsquo; experience</li>
<li>Bachelor's in Engineering, Urban Planning, Coastal Sciences, Public Policy, Environmental Science, or related field</li>
<li>Familiarity working with GIS software (i.e., ESRI or QGIS)</li>
</ul>
<p>Preferred Qualifications</p>
<ul>
<li>Working towards Master&rsquo;s in Engineering, Urban Planning, Coastal Sciences, Public Policy, Environmental Science, or related field</li>
<li>Experience working in the coastal restoration, flood risk resilience, project implementation, environmental review, or infrastructure and resilience grants management fields</li>
<li>One or more of the following:</li>
<li>Proficiency with ESRI GIS software, specifically ArcGIS Pro</li>
<li>Experience with dashboarding software such as PowerBI, Airtable, or Tableau</li>
</ul>
<p>Continue your career journey as an Arcadian.</p>
<p>
We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It&rsquo;s why we are pioneering a skills based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.</p>
<p>
You do meaningful work, and no matter where your next role in Arcadis takes you, you&rsquo;ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark; on your career, your colleagues, your clients, your life and the world around you.</p>
<p>
Together, we can create a lasting legacy.</p>
<p>
Our Commitment to Equality, Diversity, Inclusion &amp; Belonging</p>
<p>
We want you to be able to bring your best self to work every day which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity and affirmative action employer. Women, minorities, people with disabilities and veterans are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, creed, color, religion, national origin, sex, age, disability, marital status, sexual orientation, gender identity, citizenship status, disability, veteran status, or any other basis prohibited by law.</p>
<p>
Arcadis offers benefits for part-time, as needed positions. These benefits include EAP, 401K, and optional well being benefits. The salary range for this position is $25.81 - $38.72 per hour.</p>
<p>
Why Arcadis?</p>
<p>
We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It&rsquo;s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.</p>
<p>
You&rsquo;ll do meaningful work, and no matter what role, you&rsquo;ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you.</p>
<p>
Together, we can create a lasting legacy.</p>
<p>
Join Arcadis. Create a Legacy.</p>
<p>
Our Commitment to Equality, Diversity, Inclusion &amp; Belonging</p>
<p>
We want you to be able to bring your best self to work every day which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity and affirmative action employer. Women, minorities, people with disabilities and veterans are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, creed, color, religion, national origin, sex, age, disability, marital status, sexual orientation, gender identity, citizenship status, disability, veteran status, or any other basis prohibited by law.</p>
<p>
Arcadis offers benefits for part-time, as needed positions. These benefits include EAP, 401K, and optional well being benefits. The salary range for this position is $25.81 - $38.72 per hour.</p><p><br>
#LI-TB1<br>
#EarlyCareersANA<br>
#Resilience-ANA<br>
#WATER-ANA<br>
#LI-HYBRID<br>
</p><p>#SWE #WEPAN #AWIS #INWES #BWEC #NSBE #SHPE #AISES #oSTEM #SAME #SASE</p></div>

Climate Adaptation Intern

CPS, Inc.

<div>
 <strong>
  Senior Python Software Engineer
  <br/>
  <br/>
 </strong>
 We&rsquo;re looking for a Senior Python Engineer to join a small, high-performing engineering team building production-quality software systems that power critical applications. This role is ideal for someone with a strong computer science background, a track record of delivering robust, scalable code, and a passion for solving challenging engineering problems.
 <br/>
 <br/>
 Our environment is cloud-native and Kubernetes-based, with a focus on modern development practices, continuous integration/deployment, and high reliability at scale. Engineers on this team contribute to both product direction and technical strategy, and are expected to engage deeply in design discussions, code reviews, and best practices.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain high-quality production Python software.
  </li>
  <li>
   Apply strong computer science principles to develop efficient, scalable, and maintainable systems.
  </li>
  <li>
   Contribute to system architecture and technical design decisions.
  </li>
  <li>
   Write code that is well-tested, well-documented, and easy to understand.
  </li>
  <li>
   Collaborate closely with teammates to solve problems, review code, and continuously improve engineering practices.
  </li>
  <li>
   Provide guidance and mentorship to other engineers when needed.
  </li>
 </ul>
</div>


Python Software Engineer

Explore 248+ Software engineer intern in New York this December. Find roles across top companies and apply now to boost your career.