Full-Time
Audio DSP Algorithms Engineer
Tesla
10,001+ employees
EVs and integrated renewable energy solutions
No salary listed
Palo Alto, CA, USA
In Person
 Software Engineering (1) |
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- At least 5 years of experience in embedded C and C++ programming, board bring-up, profiling, optimization, simulation, and software-only and hardware/software integration testing.
- At least 5 years of expert-level proficiency in MATLAB or Python for algorithm development, simulation, and data analysis.
- At least 5 years of production experience applying machine learning to audio applications.
- Strong mathematical skills, including advanced linear algebra, calculus, and optimization.
- Experience designing and implementing audio algorithms on embedded platforms, including beamforming methods such as MVDR and GSC, multichannel Wiener filters, multichannel blind source separation, acoustic echo cancellation, noise suppression, Kalman filters, or adaptive filters.
- Deep signal processing knowledge covering time/frequency duality, discrete-time signal processing, and implementation on fixed-point and floating-point architectures.
- Solid acoustics knowledge, including audio quality evaluation using objective and subjective methods.
- Strong problem-solving ability and experience contributing to or leading complex technical projects.
- Ability to articulate complex technical concepts and work effectively with cross-functional team members to reach fact-based decisions.
- Design and develop audio signal processing for vehicle and robotics applications, including playback rendering and microphone capture processing for human and machine listening.
- Contribute to the architecture of the end-to-end audio processing pipeline and define algorithm blocks and their integration.
- Shape the technical roadmap for audio algorithms in partnership with team members and cross-functional stakeholders.
- Mentor and guide fellow engineers and promote technical excellence.
- Serve as a subject-matter expert on audio algorithms, signal processing, and machine learning, providing technical guidance across hardware, software, and acoustics teams.
- Own key algorithm components throughout their lifecycle, from prototyping in MATLAB or Python through optimized C and C++ implementation and validation.
- Promote and contribute to best practices for algorithm development, tuning, and validation.
- Lead investigations into complex performance issues across the technology stack.
- Experience with signal detection and estimation, spatial audio, crosstalk cancellation, wind noise suppression, blind dereverberation, direction-of-arrival estimation, acoustic event detection, or keyword spotting.
- Experience with PyTorch or TensorFlow.
- Experience applying machine learning to embedded systems.
- Experience with the full development cycle from model design to deployment.
Tesla designs and sells electric vehicles and renewable energy products. Its cars (Model S, 3, X, Y, and Roadster) run on battery power, with a semi-autonomous Autopilot driving system and a global network of fast-charging stations called Superchargers. The company also provides solar panels, Solar Roof, and energy storage products (Powerwall, Powerpack, Megapack) to generate and store clean energy for homes and businesses. Tesla operates with a vertically integrated model, manufacturing key components (batteries, drivetrains) and selling directly to customers via its website and stores, while earning revenue from vehicle and energy product sales and regulatory credits. Its goal is to speed up the world’s transition to sustainable energy by combining mobility and energy solutions in one ecosystem.
Company Size
10,001+
Company Stage
IPO
Headquarters
Austin, Texas
Founded
2003
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Simplify's Take
What believers are saying
- Tesla says FSD recorded 4.1 times fewer collisions across Europe in 2026.
- Cybercab fleet reached roughly 1,000 Austin vehicles, accelerating robotaxi revenue tests.
- Megapack and energy storage growth diversify Tesla beyond cyclical car sales.
What critics are saying
- NHTSA opened AQ26002 on September 4, 2026 over Cybercab self-certification.
- EU courts can void Tesla's FSD approvals after October 6, 2026 vote failure.
- Sales softness in August 2026, especially Portugal, shows brand demand erosion.
What makes Tesla unique
- Tesla's 2026 Cybercab launched driverless paid rides before rivals matched scale.
- Tesla's 2026 EU FSD approvals in six countries show rare regulatory momentum.
- Tesla's vertical integration spans batteries, software, vehicles, and energy storage.
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Benefits
Remote Work Options
Flexible Work Hours
Growth & Insights and Company News
6 month growth
↓ -2%1 year growth
↓ -2%2 year growth
↓ -3%Tesla claims its Full Self-Driving technology recorded 4.1 times fewer collisions than manually driven Tesla vehicles across five European countries where it is currently permitted, according to data released ahead of a crucial EU vote on wider deployment. The findings are based on over 100 million kilometres of driving data collected between April and August. FSD-equipped cars were involved in three motorway collisions and nine on non-motorway roads, compared with 137 and 490 respectively for manually driven vehicles. The Netherlands granted provisional FSD approval in April, with Belgium, Denmark, Estonia, and Lithuania following suit. Tesla also published an open-source safety dashboard it says was shared with EU regulators in April. Reuters previously reported that experts said Tesla's safety statistics relied on invalid comparisons and could give a misleading impression of the system's performance.
Goldman Sachs analysts suggest Tesla's Cybercab could provide a cost advantage in the robotaxi market, though software performance will be more critical than manufacturing costs for scaling operations. Tesla held a Cybercab launch event in Austin on 3 September and has completed 1 million miles of unsupervised robotaxi operations. The company is seeking operators for Cybercab fleets and infrastructure. If Tesla achieves its targeted $20,000–$30,000 Cybercab cost at scale, Goldman estimates a potential $0.05–$0.30 per-mile cost advantage over competitors with upfront costs of $50,000–$100,000. However, analysts emphasise that Tesla's ability to scale rapidly across wider geographic areas depends on its artificial intelligence approach, making software a larger driver of robotaxi economics than vehicle price. Tesla has received provisional Full Self-Driving approval in the Netherlands and four other EU countries.
Gary Moss, a blind 62-year-old from Washington, says Tesla's Cybercab could help restore independence he lost when cancer took his sight five years ago. Moss, who once drove up to 40,000 miles yearly for business, now relies on others for transport. After riding the autonomous vehicle six times in Austin with his son David, Moss praised features like automatic doors and smooth driving. "I'd buy a Cybercab," he said, calling the experience "so close to being everything I need." However, gaps remain for blind users. Moss struggled to identify his vehicle amongst multiple Cybercabs and couldn't independently set destinations. He wants voice-activated ride-hailing: "If I could just say, 'Hey Siri or Grok, I need a cab,' and one showed up — I can't believe the options I'd have." Tesla made the Cybercab available to Austin's public following its launch event.
Tesla CEO Elon Musk has announced that the Cybercab's electric motor operates without rare earth metals whilst maintaining the same range as conventional motors. "This was extremely hard to achieve," Musk said on X. The motor is 18% smaller and 25% lighter than its counterparts, according to Tesla investor Sawyer Merritt. The design could help Tesla navigate potential supply chain disruptions, as China dominates the global rare-earth supply chain, particularly for permanent-magnet production. However, investor Gary Black remains critical of the Cybercab launch. "Despite efforts to control the narrative, Tesla's Cybercab event was largely a bust," he wrote on X, citing lack of detail and unanswered questions about deployment plans. Regulatory uncertainty also exists due to the vehicle's absence of traditional controls like a steering wheel and pedals.
Tesla unveiled its autonomous Cybercab at an invitation-only event in Austin on Thursday, showcasing gold-coloured two-door vehicles with butterfly doors and no steering wheel or brake pedals. The company's Cybercab lead, Eric Earley, presented the fleet whilst CEO Elon Musk did not appear. Tesla shares initially rose 7% ahead of the event but fell 6% in Friday trading after the National Highway Traffic Safety Administration announced an investigation. Regulators are examining how Tesla self-certified the vehicles meet federal safety standards despite lacking conventional manual controls. The agency will review Tesla's certification process and technical data, particularly regarding determinations that certain federal motor vehicle safety standards are inapplicable to the Cybercab. The rollout provided few details about commercial deployment beyond plans to expand from Austin to other locations.