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Fft Jobs in California (NOW HIRING)

Experience implementing fixed-point DSP blocks in RTL, such as IIR and FIR filters, PWM generators, delta-sigma modulators, PLLs, DFT/FFT processors, and CORDIC processors. * Familiarity with ...

Senior FPGA/DSP Engineer

Santa Cruz, CA · On-site

$132K - $199K/yr

Experience implementing fixed-point DSP blocks in RTL, such as IIR and FIR filters, PWM generators, delta-sigma modulators, PLLs, DFT/FFT processors, and CORDIC processors. * Familiarity with ...

Senior FPGA/DSP Engineer

Santa Cruz, CA · On-site

$132K - $199K/yr

Experience implementing fixed-point DSP blocks in RTL, such as IIR and FIR filters, PWM generators, delta-sigma modulators, PLLs, DFT/FFT processors, and CORDIC processors. * Familiarity with ...

Senior FPGA/DSP Engineer

Santa Cruz, CA · On-site

$132.80 - $199.30/hr

Experience implementing fixed-point DSP blocks in RTL, such as IIR and FIR filters, PWM generators, delta-sigma modulators, PLLs, DFT/FFT processors, and CORDIC processors. * Familiarity with ...

FPGA Engineer

Burlingame, CA · On-site

$100K - $140K/yr

Strong understanding of DSP fundamentals (filters, synchronization, FFT, NCOs, correlators). * Proficiency in VHDL/Verilog/SystemVerilog and FPGA toolchains (Xilinx/AMD). * Experience with fixed ...

Deep understanding and experience with wireless receiver architecture for GNSS receivers and/or CDMA receivers such as AGC, DSP filters, correlators, FFT, AFC, and PLL. * Excellent foundation in ...

AI / Embedded ML Engineer

Saratoga, CA · On-site

$145K - $190K/yr

... such as FFT, filter banks, and wavelet transforms • Experience with hardware-aware neural architecture search or AutoML for edge targets • Familiarity with Rust for embedded or systems ...

AI / Embedded ML Engineer

Saratoga, CA · On-site

$145K - $190K/yr

... such as FFT, filter banks, and wavelet transforms • Experience with hardware-aware neural architecture search or AutoML for edge targets • Familiarity with Rust for embedded or systems ...

Showing results 21-40

Fft information

See California salary details

$9

$30

$74

How much do fft jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for fft in California is $30.00, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $40.58 per hour, depending on experience, location, and employer.

What is FFT?

FFT is short for functional family therapy, which a specific practice of therapy that focuses on prevention and intervention therapy for at-risk youth and their families. The discipline involves addressing behavior problems by working with adolescents and their families to plan and develop a treatment program that addresses the client’s individual needs and goals while focusing on underlying issues regarding their behavior and mental health. The court system commonly use FFT as a means to intervene before an adolescent becomes entangled in the legal system.

What are FFTs?

FFTs, or Fast Fourier Transforms, are algorithms used to compute the Discrete Fourier Transform (DFT) and its inverse efficiently. They are essential in signal processing, audio analysis, image processing, and many other scientific and engineering applications. FFTs help convert signals from the time domain to the frequency domain, making it easier to analyze the frequency components of a signal. The most popular FFT algorithm is the Cooley-Tukey algorithm, which significantly reduces the computational complexity compared to direct computation of the DFT.

What are the key skills and qualifications needed to thrive as an FFT engineer, and why are they important?

To thrive as an FFT Engineer, you need a solid background in digital signal processing, mathematics, and algorithm development, typically supported by a degree in electrical engineering or computer science. Familiarity with programming languages such as C/C++, MATLAB, or Python and experience using DSP toolkits and simulation software are common technical requirements. Strong problem-solving skills, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable engineers to efficiently design, implement, and optimize FFT algorithms critical for applications in telecommunications, audio processing, and data analysis.

What are some common challenges faced by FFT therapists, and how are they typically addressed within agencies?

FFT therapists often encounter challenges such as engaging resistant families, managing complex family dynamics, and balancing large caseloads. Agencies typically support therapists through regular supervision, team consultations, and ongoing training to help address these issues. Collaboration with colleagues and access to evidence-based resources also play a crucial role in ensuring therapists feel supported and equipped to provide effective interventions for families.

What is the difference between Fft vs Data Analyst?

AspectFftData Analyst
Required CredentialsTypically requires a degree in finance, accounting, or related fieldUsually requires a degree in statistics, mathematics, or related field
Work EnvironmentFinancial institutions, trading firms, or investment companiesCorporate, consulting firms, or research organizations
Industry UsageCommonly used in finance and trading sectorsWidely used across various industries including marketing, healthcare, and finance

Fft and Data Analyst roles share similarities in data handling and analysis but differ mainly in industry focus and specific skill sets. Fft professionals are more specialized in financial data and trading environments, while Data Analysts work across diverse sectors analyzing various data types.

Infographic showing various Fft job openings in California as of August 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $62,405 per year, or $30 per hour.

Deep Learning Scientist, Speech Synthesis

Vailexa

Santa Clara, CA • On-site

Other

Re-posted 2 days ago


Job description

Build More Than Just a Career. Build Your Future. At Vailexa, we’re not just hiring — we’re building thinkers, creators, and future leaders. We believe in giving people the space to grow, the freedom to think, and the opportunity to create real impact from day one. If you’re someone who wants to learn fast, take ownership, and grow beyond limits, you’ll feel right at home here. Key Responsibilities Train speech synthesis mel spectrogram and vocoder models Measure and benchmark model performance across use cases Maintain and enhance text to speech evaluation systems Analyze model accuracy and bias and recommend improvements Improve processes related to speech data preparation, augmentation, and filtering Develop and refine training datasets for speech models Characterize performance and quality metrics across different platforms Collaborate with cross functional teams to deliver new product features Participate in code development, design reviews, and test planning Identify issues, propose solutions, and contribute to continuous innovation Required Qualifications Master’s degree or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Applied Mathematics, Linguistics, or Computational Linguistics or equivalent experience Minimum of 5 years of relevant experience Strong programming skills in Python Solid understanding of programming fundamentals and software design Deep knowledge of machine learning and deep learning techniques including CNN, RNN, LSTM, and Transformers Experience applying deep learning to speech synthesis, large language models, and speech to speech translation Hands on experience with speech technologies such as speech synthesis and voice cloning Experience training speech models Proficiency with PyTorch deep learning frameworks Knowledge of speech signal processing techniques including FFT, MFCC, and mel spectrograms Familiarity with version control tools such as Git, Gerrit, or GitLab Strong collaboration and communication skills in a matrixed environment Preferred Qualifications Fluency in one or more languages such as Spanish, Mandarin, German, Japanese, Russian, French, Arabic, Hindi, Korean, Italian, or Portuguese Experience with multilingual or code switched text to speech systems Experience with voice cloning and cross lingual voice cloning Knowledge of text normalization and inverse text normalization using neural networks or WFST Experience working with grapheme to phoneme systems for multiple languages Interest in linguistics, phonetics, and language technologies Strong C plus plus programming skills Familiarity with GPU technologies such as CUDA, cuDNN, or TensorRT Experience deploying machine learning models to cloud, data center, or embedded systems Ready to take the next step? If you’re excited about this role and ready to grow with a team that values ambition, ideas, and impact — we’d love to hear from you. Apply now and start building your journey with Vailexa.