Signal Processing Engineer

Vintti is a cutting-edge staffing agency revolutionizing the way US companies build their teams. Leveraging advanced technology and embracing the power of remote work, we connect SMBs, startups, and firms across the United States with top-tier talent from Latin America. Our platform seamlessly integrates professionals into US business ecosystems, regardless of physical borders. Vintti operates on the principle of a borderless future of work, where skills and expertise trump geographical constraints.

A Signal Processing Engineer is responsible for developing, implementing, and optimizing algorithms to process and analyze signals from various sources such as audio, video, sensors, and communication systems. This role combines advanced knowledge of mathematics, statistics, and computer science to enhance signal quality, extract valuable information, and improve system performance. Signal Processing Engineers work on a range of applications, from telecommunications and audio engineering to medical imaging and radar systems, ensuring that data is accurately interpreted and effectively utilized in real-world scenarios.

- Master's degree or Ph.D. in Electrical Engineering, Computer Science, or related field.
- Proven experience in signal processing algorithm development.
- Proficiency in MATLAB, Python, and relevant signal processing software tools.
- Experience with digital signal processors (DSPs) and field-programmable gate arrays (FPGAs).
- Strong understanding of digital and analog signal processing techniques.
- Experience in real-time data acquisition and processing.
- Solid background in developing and executing simulations and performance evaluations.
- Demonstrated ability to troubleshoot and debug complex systems.
- Experience with embedded systems and hardware integration.
- Strong analytical and problem-solving skills.
- Knowledge of machine learning models and their application in signal processing.
- Ability to work with large datasets and perform data analysis.
- Excellent written and verbal communication skills.
- Experience in developing technical documentation and reports.
- Ability to collaborate effectively with cross-functional teams.
- Detail-oriented with strong organizational skills.
- Demonstrated ability to stay updated with industry trends and advancements in signal processing technologies.
- Experience providing technical guidance and support to junior team members.
- Ability to review and interpret technical documentation and specifications.

- Develop and refine algorithms for signal processing.
- Design, implement, and enhance signal processing systems.
- Conduct simulations and performance evaluations.
- Integrate signal processing algorithms with hardware.
- Troubleshoot and debug signal processing systems.
- Review technical documentation and project requirements.
- Attend and contribute to cross-functional team meetings.
- Develop test plans, procedures, and verification results.
- Perform real-time data acquisition and processing.
- Collaborate with research scientists on new techniques.
- Provide technical support and guidance to team members.
- Stay updated with signal processing advancements.
- Prepare technical reports and presentations.
- Implement machine learning models for signal processing.
- Analyze large datasets to improve performance.

The ideal candidate for the role of Signal Processing Engineer will possess a Master's degree or Ph.D. in Electrical Engineering, Computer Science, or a related field, coupled with extensive experience in developing and refining signal processing algorithms. Proficiency in MATLAB, Python, and other relevant signal processing software tools is critical, as is hands-on experience with digital signal processors (DSPs) and field-programmable gate arrays (FPGAs). This candidate will demonstrate a deep understanding of both digital and analog signal processing techniques and have a proven track record of real-time data acquisition and processing, alongside a robust background in simulations and performance evaluations. An analytical mindset, strong problem-solving skills, and exceptional organizational abilities are essential, along with the ability to troubleshoot and debug complex systems effectively. Experience in embedded systems integration and hardware is highly valued, as is knowledge and application of machine learning models in signal processing. The candidate will excel in developing technical documentation, reports, and presentations, and possess excellent communication and interpersonal skills for collaboration across cross-functional teams. Additionally, the right fit will be proactive, highly motivated, and adaptable, with a passion for exploring new technologies and methodologies. Strong leadership qualities, including the ability to mentor junior engineers and provide technical guidance, are also important. The ideal candidate will have a commitment to continuous improvement, a high level of technical acumen, and the ability to manage multiple tasks and projects simultaneously, while consistently delivering high-quality outcomes.

- Analyze and interpret signal data to develop algorithms for signal processing.
- Design, implement, and optimize signal processing systems and algorithms using MATLAB, Python, or other relevant software tools.
- Conduct simulations and performance evaluations to validate signal processing solutions.
- Collaborate with hardware engineers to integrate signal processing algorithms with embedded systems.
- Troubleshoot and debug signal processing systems to improve performance and resolve issues.
- Review and interpret technical documentation, specifications, and requirements related to signal processing projects.
- Participate in cross-functional team meetings to discuss project status, updates, and technical challenges.
- Develop and document test plans, procedures, and results for verifying signal processing system performance.
- Perform real-time data acquisition and processing using digital signal processors (DSPs) and field-programmable gate arrays (FPGAs).
- Collaborate with research scientists to explore novel signal processing techniques and methodologies.
- Provide technical support and guidance to junior engineers and team members.
- Stay current with advancements in signal processing technologies and industry trends.
- Prepare detailed technical reports, presentations, and documentation for stakeholders and management.
- Implement machine learning models for signal processing applications where necessary.
- Work with large datasets to extract meaningful insights and enhance signal processing performance.

- Analytical mindset with strong problem-solving skills
- Detail-oriented with exceptional organizational abilities
- Proactive and self-motivated
- Excellent communication and interpersonal skills
- Strong collaborative and team-oriented attitude
- Proven ability to manage multiple tasks and projects simultaneously
- Innovative thinker with a passion for exploring new technologies and methodologies
- Adaptable and open to learning new skills
- High level of technical acumen and attention to detail
- Strong work ethic and commitment to continuous improvement
- Ability to quickly grasp and apply complex technical concepts
- Exceptional troubleshooting and debugging capabilities
- Strong leadership qualities with the ability to provide mentorship
- Ability to work independently and take initiative
- Results-driven with a focus on delivering high-quality outcomes
- Proficient in critical thinking and decision making
- Highly reliable with a strong sense of responsibility
- Strong commitment to staying updated with industry trends and advancements

- Competitive salary ranging from $90,000 to $130,000, based on experience and qualifications
- Comprehensive health, dental, and vision insurance plans
- Flexible work hours and remote work options
- Generous paid time off (PTO) and holidays
- 401(k) retirement plan with company match
- Professional development programs and tuition reimbursement
- Opportunities for career advancement and growth within the company
- Access to state-of-the-art technology and equipment
- Employee wellness programs and on-site fitness center
- Collaborative and inclusive work environment
- Company-sponsored workshops and training sessions
- Performance-based bonuses and incentives
- Paid parental leave and family-friendly policies
- Travel opportunities for conferences and professional networking
- Subsidized public transportation or parking allowances
- Employee assistance program for personal and professional support