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Audio Deep Learning Engineer Job Opening In San Bruno – Now Hiring femtoAI


Job description

About the Role

Join an ambitious team revolutionizing embedded AI at femtoAI! We’re delivering state-of-the-art deep learning solutions to run on our company’s custom hardware.

The Sparse Processing Unit (SPU) chip leverages neural compression techniques like sparsity to push the envelope on performance and efficiency.

As a leading startup in embedded AI, we’re redefining what’s possible in everyday devices like earbuds, hearing aids, home appliances, vehicles, and beyond.

As a Deep Learning Engineer, you will

  • Design, develop, and deploy deep-learning-based audio algorithms for our SPU platform.

  • Leverage innovative model compression techniques to optimize performance-per-joule on custom silicon.

  • Be a core contributor to our deep learning development platform, advancing novel algorithms for audio processing.

  • Collaborate directly with customers across diverse industries to deliver impactful solutions and exciting new features.

What You’ll Do

  • Develop and optimize deep learning models for audio processing, including tasks like speech enhancement, beamforming, event detection, sound localization, voice identification, voice interfaces, noise reduction, and more.

  • Drive innovation in model efficiency, compression, and deployment on embedded platforms.

  • Work closely with customers to understand their needs and tailor solutions to meet their goals.

  • Contribute to the end-to-end process of model development, from research and prototyping to deployment on hardware.

Requirements

  • 3+ years of relevant experience in deep learning, machine learning, or AI development.

  • Strong experience with Python and PyTorch (or other deep learning frameworks).

  • A background in Computer Science , Mathematics , or a related field (BS, MS, PhD, or equivalent work experience).

  • Experience in audio signal processing is a plus but not required.

  • A passion for solving challenging problems and collaborating in a fast-paced, innovative environment.

Benefits

  • 401(k)
  • Medical insurance
  • Vision insurance
  • Dental insurance
  • Commuter benefits
  • Disability insurance
  • Paid maternity leave
  • Paid paternity leave
  • Child care support

femtoAI is an equal opportunity employer committed to a diverse workforce which strives to create an inclusive working environment empowering everyone to do their best work.

We do not discriminate on the basis of race, ethnicity, religion, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Software Engineer

Industries

  • Semiconductor Manufacturing

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Required Skill Profession

Media And Communication Equipment Workers


  • Job Details

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Unlock Your Audio Deep Potential: Insight & Career Growth Guide


Real-time Audio Deep Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Audio Deep in San Bruno, United States, highlighting market share and opportunities for professionals in Audio Deep roles.

1980 Jobs in United States
1980
110 Jobs in San Bruno
110
Download Audio Deep Jobs Trends in San Bruno and United States

Are You Looking for Audio Deep Learning Engineer Job?

Great news! is currently hiring and seeking a Audio Deep Learning Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at femtoAI adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Audio Deep Learning Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in San Bruno. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Audio Deep Learning Engineer?

Key qualifications for Audio Deep Learning Engineer typically include Media And Communication Equipment Workers and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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To improve your chances of getting hired for Audio Deep Learning Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Audio Deep Learning Engineer Job Success

femtoAI interview tips for Audio Deep Learning Engineer

Here are some tips to help you prepare for and ace your Audio Deep Learning Engineer job interview:

Before the Interview:

Research: Learn about the femtoAI's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Audio Deep Learning Engineer interview at femtoAI, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the femtoAI's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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