Experienced DSP & AI Development Engineer - Hod HaSharon
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Experienced DSP & AI Development Engineer - Hod HaSharon
Location
Hod Hasharon, Haifa District, Israel
Experience
Senior
Posted
Jul 14, 2026
Apply by
August 13, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Office
Job Description
##
Company:
Qualcomm Israel Ltd.
## Job Area:
Engineering Group, Engineering Group > Modem Technologies
General Summary:
Experienced DSP & AI Development Engineer
Engineering, DSP, Communications, AI, Embedded Software, Algorithms
Location Israel - Hod HaSharon
## Responsibilities
- Design and develop high‑performance DSP software, including highly efficient kernels for different applications, such as communication algorithms and machine learning inference workloads
- Implement optimized, low‑level DSP solutions with a strong focus on performance, accuracy, and real‑time constraints
- Deliver high‑quality, efficient, and well‑tested code according to project schedules
- Collaborate closely with team members and peer teams across multiple engineering disciplines
## Required Qualifications
- At least 4 years of proven experience in DSP programming and development, including assembly, SIMD / vector processing, and real‑time embedded software. More experience – advantage.
- Develop and leverage profiling and analysis tools to optimize performance, memory utilization, and power efficiency
- Familiarity with fixed-point arithmetic
- Thorough background in software and/or firmware engineering
- Strong analytical skills, technical leadership, creativity, agility, and ability to solve complex technical problems
- Deep understanding of DSP/GPU and/or CPU architectures
- Experience in development of digital communication systems – advantage
- Good understanding of machine learning and neural network graphs - advantage
- Excellent interpersonal and communication skills, with the ability to work closely within a team environment
- Strong verbal and written English communication skills
- Demonstrated ownership and commitment to delivering high-quality results in a fast-paced engineering environment
## Education Requirements
- B.Sc in Electrical Engineering (preferred, other Engineering disciplines may be considered)
- Advanced academic degree (M.Sc / Ph.D) – advantage
Minimum Qualifications:
• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Electrical Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of Software Engineering, Hardware Engineering, Electrical Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
\References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found [here](https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028). Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact [Qualcomm Careers](http://www.qualcomm.com/contact/corporate).
Key Responsibilities
- Design and develop high-performance DSP software and efficient kernels for communication algorithms and machine learning inference.
- Implement optimized, low-level DSP solutions with a focus on performance, accuracy, and real-time constraints.
- Deliver high-quality, efficient, and well-tested code according to project schedules.
- Collaborate closely with team members and peer teams across multiple engineering disciplines.
Requirements
- Bachelor's degree in Computer Engineering
- Computer Science
- Electrical Engineering
- or related field
- Master's degree in Computer Engineering
- Computer Science
- Electrical Engineering
- or related field
- PhD in Computer Engineering
- Computer Science
- Electrical Engineering
- or related field
Skills Required
DSP programmingAssemblySIMDVector processingReal-time embedded softwareFixed-point arithmeticSoftware engineeringFirmware engineeringDSP/GPU architecturesCPU architecturesAnalytical skillsTechnical leadershipCreativityAgilityProblem solvingInterpersonal skillsCommunication skillsTeamworkDigital communication systemsMachine learningNeural network graphs
Benefits
- Health
- Wealth
- Self
- Wellbeing
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