Careers and Job at Apple for Graduate Entry Level | Any Graduate and Post Graduates | 0 – 6 yrs

Apple Inc. is an American multinational technology company headquartered in Cupertino, California, that designs, develops, and sells consumer electronics, computer software, and online services. It is considered one of the Big Four of technology along with Amazon, Google, and Facebook.

Apple Careers Opportunities for Graduate, Fresher, Entry Level, Mid Level and Experience Professionals in various domain such as Technology, Engineering, Digital,  Software, Cyber, AI and many domains

At  Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. The people here at Apple donʼt just craft products – they build the kind of wonder thatʼs revolutionized entire industries.

Apple is a place where extraordinary people gather to do their best work. Together we build products and experiences people once couldn’t have envisioned – and now can’t imagine living without. Are you excited by the idea of making a real impact? Are you prepared to dream big? Then a career with Apple might be your dream job!

Apple Careers Opportunities for Graduates 2024

Account Executive, Norway – 15 month parental cover – Norway

Job Description:

Be responsible for the total Apple product portfolio, including Beats within the retailer.

Be responsible for annual and quarterly strategic business plan.

Create sales initiatives and work cross-functionally within Apple and the retail partner.

Build, negotiate and execute quarterly demand generation activities.

Collaborate with Apple’s internal functions and the retailer on forecast and supply planning

Collaborate with the retailer to discover new business opportunities for growth.

Qualifications:

You are an strong negotiator at a high level

You are a strong team player expected to develop positive relationships throughout all levels of the organization

You have a flexible approach to work, and the ability to adapt to changes priorities and deadlines

You are analytical with the ability to convert data into business intelligence while staying focused on the overall objective

You have good presentation skills

You are determined, self-motivated and eager to take on new challenges.

Preferred Qualifications

Ideally a graduate from Business Management. Other relevant experience will be considered.

For more details to apply, Click here!

Apple Services Partner Operations – Graduate Programme 2025 – Ireland

Job Description:

– Support partners after launch to resolve any issues and identify areas for optimisation

– Support day-to-day operational requests from internal and external partners

– Transition manual processes to automated and scalable ones

– Develop and deliver insights to the business through reporting and presentations

– Develop in-depth understanding of the back-end systems to be able to see around corners and mitigate issues before they occur

– Prioritise the most urgent work in a fast-paced & information-sensitive environment

– Keep internal and external partners informed of important issues and eliminate gaps in customer experience

Qualifications:

Self-starting and self-motivated teammate

Tech savvy and quick-learner who can ramp up on internal tools and processes

High attention to detail, e.g. documenting processes and customer experience as part of overall process improvement / expansion initiatives

Can seamlessly balance competing priorities through strong time management and prioritisation

Strong communication skills

Preferred Qualifications

Minimum 2:1 honours degree (Level 8) in BIS, Engineering, Computer Science, Commerce, or other similar qualification including equivalent work experience

For more details to apply, Click here!

Machine Learning Engineer – US

Job Description:

To be successful, candidates will need a machine learning background, proven software development skills, a love of learning. They will also need to be able to collaborate with cross-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to help develop and implement machine learning algorithms.

– Collaborate with other MLEs to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment.

– Contribute to the ongoing improvement of our ML infrastructure and tooling.

– Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering.

Qualifications:

2 years of related experience building high throughput scalable applications or building machine learning models.

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building distributed systems.

Experience building data processing pipelines and large scale machine learning systems with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc.

Skilled in communication, problem solving, strategic thinking.

Preferred Qualifications

Graduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, Political Science, Biology, etc) or Bachelor’s degree with equivalent experience.

Experience in Recommender Systems, Personalization, Search, Computational Advertising or

Natural Language Processing including RAG based Generative AI and transformer architecture.

Skilled in communication, problem solving, critical thinking.

Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement

Learning in real applications a plus.

Experience with Spark, TensorFlow, Keras, and PyTorch a plus.

For more details to apply, Click here!

Cellular Protocol RAN/Core Network Simulation Engineer – India

Job Description:

This role works on multiple layers in cellular protocols, UE and/or NW protocols development for various 3GPP technologies.;

The duties will include architecture, design, develop, and maintain cellular protocol device side host test and network simulation environment.

Qualifications

This position will need strong coding skills in C/C++;

Excellent software developing and debugging skills including design, programming (C, C++, script) and debugging.

Preferred Qualifications

Standard Software development & tool environment experience is a plus;

Highly motivated and proactive, fast learner, a good teammate;

Proficient in English, good verbal and written communication skills;

Bachelor or graduate degree in Electrical Engineering, Computer Engineering;

1-2 years working experience.

For more details to apply, Click here!

Silicon Validation Engineer – Power Management – Europe

Job Description:

– Debug and silicon validation of Mixed Signal IP Complete system characterization as spec compliance testing

– Debug of chip level or board level issues

– Development and execution of scripts (i.e. Python) to validate IC over Process, Voltage,

Temperature Board level circuit design, schematic capture, routing constraints definition, and layout reviews

Qualifications

Bachelor or Master’s degree in Electrical Engineering or equivalent

Preferred Qualifications

We would be interested in meeting you if you have validated expertise in the following areas:

Knowledge of analog mixed circuits such as ADC/DAC, OpAmp

Good knowledge of EDA tools

Good experience in coding skills using Python and knowledge of test equipment programming for automating laboratory measurements

Knowledge of passive component characteristics

Excellent knowledge on lab measurements and instrumentation

Knowledge of switching converters (Buck/Boost/BuBo) and linear regulators (LDO)

Knowledge of ICs production flows would be an advantage

Excellent written and verbal communication and interpersonal skills, hardworking and interested in collaborating with diverse teams

Graduates with excellent academic results and relevant internship experiences will also be considered

For more details to apply, Click here!

Software Development Engineer – Ad Platforms – India

Job Description:

As a Software Engineer on our team, you’ll be instrumental in crafting the future of Apple’s advertising platforms.

You’ll work on highly scalable, low-latency systems that power billions of ad impressions daily. You’ll collaborate with world-class engineers to solve complex technical challenges and drive innovation. If you’re passionate about building innovative products and shaping the future of advertising, we invite you to join our team!

Job Responsibilities:

– Provide Technical Leadership: Mentor and guide a team of engineers, fostering a culture of innovation and excellence.

– System Design and Architecture: Design, develop, and optimize highly scalable, distributed systems. Leverage cloud-native technologies and microservices architecture to build robust and resilient solutions.

– Data Engineering and ML: Build efficient data pipelines and apply machine learning techniques to enhance ad targeting and measurement.

– Problem-Solving and Innovation: Tackle complex technical challenges, drive innovation, and stay up-to-date with emerging technologies.

– Collaboration: Work closely with product managers, architects, and other engineers to deliver high-quality solutions.

Qualifications:

3+ years of software engineering experience, with a focus on distributed systems, cloud technologies, and microservices architecture

Strong proficiency in Java, Scala, or C++

Deep understanding of cloud platforms (AWS, GCP, Azure)

Expertise in DevOps technologies (Docker, Kubernetes)

Proficiency in database technologies (SQL, NoSQL)

Bachelor’s / Master’s degree in Computer Science or equivalent

Preferred Qualifications

BS in Computer Science or equivalent degree required

Data Engineering skills using Spark are preferred

Exposure to building Pub/Sub mechanism for message flow

Exposure to applied machine learning, Analytics and business intelligence is a plus

Commitment to developing high-quality software and products

Curiosity to explore and understand data is a strong plus

Excellent spoken and written communication skills

For more details to apply, Click here!