Engineer, Senior Staff|13165
Job Description
Job Title - Multimedia Systems Engineer, Senior StaffDuration - 5+ Months
Location - San Diego, CA (Onsite)
Job Description:
*Position could require work in the lab using hazardous chemicals (e.g., glue, machinery)
Principal Duties and Responsibilities:
- Owns a sub-system and independently identifies issues or patterns of issues related to systems-level software and hardware design and the implications for work within and across teams; shares a use-case scenario and targets for the market; makes overall recommendations for new technologies and to address ambiguous issues, design architectures, generate solutions, and develop models, code, and/or simulations.
- Supports design reviews for platform development; leads evaluation of system performance based on constraints and/or capabilities of design; works with multiple groups outside domain to support design integrity.
- Provides leadership and mentorship for a cross-functional team to design products and solutions and drives their implementation, meeting internal and/or external customer requirements and standards.
- Architects test environment to verify code or design for the sub-system; leads others to evaluate the impact of results, problem solve solutions, and validate software and hardware against specifications; advises multiple teams of engineers; reviews test plans; creatively analyzes the data to draw conclusions and determine what additional data should be collected; interprets results and provides feedback to cross-functional teams.
- Applies and teaches others on analyses and using appropriate tools; identifies issues and/or patterns of issues and implications for the work; makes recommendations to address issues.
- Independently identifies issues or patterns of issues in code and provides the implications and recommendations to improve performance; helps lead others to run algorithms and add a new feature to existing algorithms; implements new algorithms using software; improves outcomes by drawing connections between new and existing algorithms; drives the software architecture framework.
- Coordinates team within a specific domain and oversees the engineering and management of complex or novel machine learning data.
- Develops novel machine learning solutions aligned with proposals or roadmaps for complex products; advises and supervises small groups of less experienced engineers working together on common tasks.
- Oversees and provides technical expertise to others conducting experiments within a domain to train and evaluate machine learning solutions.
- Evaluates topologies against performance, and cost variables and uses the feasibility findings to review the high-level design; provides recommendations for route/topology that should be used to maximize performance, quality, and costs while reducing risks to the schedule and implementation.
- Displays deep knowledge in multiple areas; acquires advanced knowledge of industry trends, competitors' products, and advances in various engineering fields related to multimedia systems products and technology; reads technical articles and publications; shares knowledge and seeks best practices from open-source community; shares knowledge of multiple areas within their team and across teams working on similar products.
- Stays abreast of current and future trends to make suggestions in strategic discussions within and/or across domains about the product/technology roadmap.
- Leads technical conversations; identifies technical issues that affect project or other areas of overall system and complex synthesizes issues into an appropriate document for discussion with senior-level audience (e.g., project lead, other team leads); participates in patent application reviews.
Additional Preferences:
- Understand, Maintain and tune advanced signal processing algorithms to further the state-of-the-art audio infotainment features in a vehicle.
- Maintain, tune and develop the algorithms for handsfree phone calls in car-cabin.
- Understand, maintain, tune and support speech enhancement using multiple linear and distributed microphone arrays.
- Distributed microphone-based signal processing to identify the number and directionality of the desired talkers.
- Well versed with multi-rate signal processing and adaptive signal processing.
- Sound knowledge of advanced signal processing concepts including but not limited to adaptive signal processing, statistical signal processing, multi-rate signal processing, time, frequency and sub-band-based signal processing, adaptive beamforming, and other speech enhancement techniques.
- Experienced in using tools like adobe audition etc in analyzing audio artifacts.
- Exceptional team player.
- Excellent communication and organizational skills.
Top 5 Required Skills:
- 5+ years experience with Signal Processing - Well versed with multi-rate and adaptive signal processing.
- 5+ years experience with Speech Enhancement, Noise Suppression, Beam-Forming and Speech Processing
- Experience with Adobe Audition, MatLab, and C/C++
- Excellent Communication and Organizational Skills
- Ability to work in a face paced environment
Technologies:
- Signal Processing
- Speech Enhancement
- Beam-Forming
- Noise Suppression
- Speech Processing
Required Education:
- Bachelor's Degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. (Preference is Electrical Engineering)
- Master's Degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience (Preference is Electrical Engineering
- PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience
SPECTRAFORCE is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, religion, color, sex, national origin, age, sexual orientation, gender identity, genetic information, disability or veteran status, or any other category protected by applicable federal, state, or local laws. Please contact Human Resources at nahr@spectraforce.com if you require reasonable accommodation.
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