Software Engineer Intern - QuantumBlack, AI by McKinsey

McKinsey & Company; Atlanta (GA); Sur place; USD 108 000 - 132 000; Plein temps

Avantages offerts par ce poste

Competitive salary & benefits

Global community access to teams in 65

Comprehensive benefits package

Résumé du poste

McKinsey & Company invites undergraduates and master's students in CS to join a North America software engineering internship. You will work with senior engineers, designers, and technologists on real client solutions from day one, across full stack with close mentorship.

You’ll learn by contributing to robust, production-ready software, collaborate with cross-functional teams, and gain hands-on experience across AI-enabled systems in a fast-paced environment.

Qualifications

• Pursuing an undergraduate or master’s in a computer science related field.
• Foundational knowledge of software development with eagerness to work across full stack (frontend and backend).
• Understanding of RESTful APIs, design patterns, and relational databases.
• Exposure to cloud platforms and CI/CD concepts.
• Familiarity with AI-assisted development tools and responsible AI outputs.
• Security-minded and able to learn testing frameworks such as Jest or PyTest.

Responsabilités

• Contribute to real client software solutions from day one.
• Work on full-stack tasks with close guidance and grow skills each engagement.
• Collaborate with cross-functional teams to deliver software with tangible business value.

Connaissances

Full stack

Frontend

Backend

SQL databases

Cloud platforms

RESTful APIs

CI/CD concepts

AI-assisted development

Security mindset

Time management

Communication skills

Formation

Undergraduate or Master’s in CS

Outils

Cursor

Claude Code

Jest

PyTest

Description du poste

You're eligible for this role if your graduation date is between December 2027 and August 2028, and you're pursuing an undergraduate or masters in a computer science related field.

• Atlanta
• Boston
• Chicago
• New York City

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.

YOUR IMPACT

You will be part of a multidisciplinary engineering team working alongside senior engineers, designers, and technologists, where you will learn the craft of software engineering by contributing to real client solutions from day one.

You will assist in building software across the full stack, taking on well-defined tasks with close guidance and growing your skills with every engagement. You'll participate in team discussions, collaborate with technical and non-technical colleagues, and develop a firsthand understanding of how great engineering teams operate. You will learn fast, embrace feedback, and build a strong technical foundation in a high-impact environment.

Your work will help solve some of the most complex and high-impact challenges facing clients across industries. Collaborating across QuantumBlack, AI by McKinsey and QuantumBlack Labs teams, you'll help develop innovative software capabilities and scalable enterprise solutions. You'll help build robust technical foundations for production-ready, AI-enabled systems. Your contributions will directly support the firm's ability to accelerate AI adoption, solve complex business problems at scale, and enable clients to achieve meaningful, lasting impact.

You'll be based in one of our North America offices as part of our global Software Engineering community. Working in cross-functional teams, you'll collaborate closely with designers, product managers, and industry experts to deliver software solutions. By partnering with clients from technical teams to C-level executives, you'll help solve complex problems that drive tangible business value and begin to build your skills as a client-facing technologist.

Your work offers a unique opportunity to grow at the forefront of AI and software engineering. You'll develop expertise at the intersection of technology and business by tackling diverse challenges in the evolving AI landscape. Working alongside multidisciplinary teams, you'll gain a holistic understanding of how software engineering enables advanced AI while collaborating with some of the leading technologists and AI practitioners in the industry.

YOUR GROWTH

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.

When you join us, you will have:

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS

• This internship is for students with graduation dates between December 2027 and August 2028 and currently pursuing an undergraduate or master's degree in a computer science related field
• Foundational knowledge of software development and an eagerness to build hands-on experience across the full stack, including frontend and backend technologies, SQL databases, and cloud platforms
• Basic understanding of RESTful API concepts, common software design patterns, and relational database fundamentals, with the ability to contribute to well-defined tasks with close guidance
• Foundational awareness of cloud platforms and the basics of how applications are deployed and maintained, including introductory exposure to CI/CD concepts
• Familiarity with AI-assisted development tools such as Cursor or Claude Code, with the judgment to review and take accountability for AI-generated outputs; exposure to delivering well-scoped features within an existing system under guidance
• A security mindset -committed to following team security practices and writing clean, functional code, with a willingness to learn test frameworks such as Jest or PyTest
• Experience working in cross-functional teams, collaborating closely with developers and cross-functional teammates
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels

Industries

• High Tech

Capabilities

• Technology

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role.
To help you understand what you can expect, the salary range for new joiners in this role in United States, including all office locations where the job may be performed, is $120,000 - $120,000 USD gross per year. This reflects our best estimate of the lowest to highest
[salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important
to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current
organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion
and based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families.
This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance,
and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

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