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Requirements:
Strong C programming skills
At least 2 years of experience with System-on-Chip architecture and HW-SW integration
Excellent debugging and problem solving capabilities
Preferred Qualifications
Good Python and Bash knowledge
Experience with Embedded Linux Kernel development - Advantage
Experience with ARM Architecture - Advantage
Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.

Requirements:
Strong foundation in image processing computer vision, machine learning, and deep learning.
Proficiency in Python and deep learning frameworks (e.g. PyTorch).
Hands on experience with developing real time deep learning solutions, using large scale datasets.
PhD or Master's degree in Computer Science, Electrical Engineering, in related research fields.
Proficient in both written and verbal communication.
Ability to work both autonomously and collaboratively.
3 or more years of relevant experience.
Preferred Qualifications
Experience with Vision Transformers, Diffusion Restoration models.
Experience with advanced implementation architectures on GPU, Dedicated HW or Neural engines.
Experience with inverse problems
Background in physics
Publications in top-tier computer vision conferences (CVPR, ICCV, ECCV).

Requirements:
B.Sc / M.Sc in Electrical / Computer Engineering
4+ years of experience, 2 out of which in System Validation/ASIC Verification
Deep understanding of communication systems (i.e. more than one discipline), Specific BT / WiFi knowledge - an advantage
Validated experience with validation of complex systems and bring these complex systems to production
Experience in test plan definition, test automation development, and manual test execution
Setup bring-up experience and hands-on lab work
Should be a team player with excellent communication skills and the desire to take on diverse challenges
Scripting capabilities (Python preferred)
Knowledge in RT programming
Preferred Qualifications
Knowledge of verification / test automation frameworks - an advantage
iOS and Linux knowledge - an advantage

Requirements:
At least 2 years of experience in managing learning projects or similar roles within organizations with a technological focus.
Minimum availability of ~4.5 working days per week. The position is based in Herzliya and requires flexibility to travel to Haifa as needed.
Proven ability to coordinate complex learning operations across multiple interfaces.
Experience in delivering training programs: content, logistics, outcomes analysis, and engagement.
Strong project management and communication skills
Academic background in related fields (Human Resources/Organizational Development / Information Systems/Project management or related fields.
Up-to-date with AI trends and learning tech- not mandatory, but a strong advantage.
Preferred Qualifications:
Pursuing a Bachelor's or Master's degree in behavioral sciences
** Must add grade sheet **

Requirements:
BSc in Electrical Engineering
7+ years of experience in RF lab automation development with demonstrable sophisticated system implementations
Advanced proficiency in Python or equivalent programming languages for test automation, with a portfolio of scalable automation frameworks
Exceptional debugging skills with proven ability to troubleshoot complex RF measurement anomalies and automation failures
Deep systems-level understanding of RF signal chains and propagation effects, with expertise in characterizing complex impairments
Strong understanding of RF system parameters, measurement methodologies and wireless communications standards (5G, LTE, etc)
Extensive knowledge of RF test equipment, including spectrum analyzers, network analyzers, signal generators, power meters, and vector signal analyzers
Demonstrated proficiency in diving into extensive codebases, quickly understanding software architecture, and independently navigating through multiple layers of abstraction to diagnose and resolve subtle integration issues
Advanced debugging skills with experience using logging frameworks, profilers, and debugging tools to troubleshoot complex software behaviors in RF automation systems
Demonstrated ability to translate RF system specifications into comprehensive automated test plans that efficiently validate performance across all operating modes and environmental conditions
Experience with AI/ML tools and frameworks for predictive analytics, anomaly detection or test optimization is an advantage
Preferred Qualifications:
Proven track record of independently driving technical projects from conception to completion
Outstanding problem-solving abilities with a detailed approach to complex technical challenges
Collaborative team player with excellent cross-functional communication skills
Self-motivated with demonstrated ability to prioritize in a fast-paced environment
Accountability with consistent delivery of high-quality results on schedule

Requirements:
Strong C++ expertise
Knowledge of common data structures like linked lists, sets, maps, and graphs
Knowledge of common code optimizations and performance analysis
Experience in debugging and testing large production code bases
Ability to communicate clearly and effectively
Preferred Qualifications:
Hands-on experience developing compiler analysis and optimization passes is a big plus
Experience working with LLVM or other open source project is a plus
Experience in CPU architecture is a plus
Experience in collaboration with teams across different organizations and timezones is a plus

Requirements:
Bachelor's degree in Computer Science or related technical field
4+ years of professional experience in data modeling, pipeline development, and software
engineering
Programming Languages: excellent programming skills in Python with strong computer science foundations (data structures, low-level parallelization.
Database Management: Strong SQL skills and hands-on experience with relational databases and query engines (PostgreSQL, Impala, Trino)
Experience with data analysis tools and libraries (Pandas/Polars, NumPy, dbt)
Experience with big data technologies (Kafka, Spark, Databricks, S3)
Experience with Apache Airflow, Dagster, or similar data orchestration frameworks for workflow orchestration, scheduling, and monitoring
Experience with containerization and orchestration (Docker, Kubernetes /visualization & Reporting:
Strong proficiency with creating and maintaining Tableau/Grafana dashboards and workflows
Preferred Qualifications:
Master's or PhD in Computer Science or related field
Deep expertise in data principles, data architecture, and data modeling
Strong problem-solving skills and meticulous attention to detail, with the ability to tackle loosely
defined problem

Requirements:
5+ years of Embedded software/firmware team management of at least 4 people - Mandatory
Experience with Wi-Fi/802.11 protocol development - Mandatory
Experience and proficiency in C development - Mandatory
Exceptional problem solving and debugging skills
Independent, highly motivated, with good interpersonal skills
B.Sc or higher degree in Computer Science or technically equivalent field is required
Preferred Qualifications
Experience with developing mobile products and protocols, Wi-Fi, BT, Cellular, etc
Experience using other common programming languages, such as Objective- C, Java, C++, Python
Experience with ARM micro-controllers and/or RTOS based development