Sonatus

Sonatus

Senior Staff AI Engineer

Sunnyvale, CA · Staff+

Sponsorship not specified$228k-$300kDetected 30 days ago
PythonJavaGoC++AlgorithmsAWSGCPAzureCloud PlatformsDockerKubernetesMachine LearningTensorFlowPyTorchscikit-learnData AnalysisData ScienceLLMsRAGAgentic AIAI OrchestrationA/B TestingAgileControls

Stay score

odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level III · 3×
Level I$152,7971 entry
Level II$187,0752 entries
Level III$221,3743 entries
Level IV$255,6534 entries

$28,153 more — $255,653 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $255,653 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

7 transfer filings in the last year, covering 7 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

  • That's why leading OEMs trust Sonatus to accelerate this shift.
  • Our technology is already in production across more than 9 million vehicles on the road today and rapidly expanding.
  • Join us and help redefine what's possible as we shape the future of mobility.

Responsibilities

  • Lead efforts to leverage existing AI models and frameworks to solve complex business challenges.
  • Develop agentic orchestration by designing and implementing reason and act loops that allow AI agents to decompose complex goals into actionable sub-tasks.
  • Design and implement a versioned prompt registry allowing for model-agnostic routing and A/B testing of system prompts
  • Perform data analysis and offer insights to inform business decisions across multiple domains.
  • Collaborate with cross-functional teams to understand requirements and translate them into effective AI and data science solutions.
  • Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations.
  • Departmental team building and outings

Requirements

  • Strong programming skills in languages such as Golang, Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Solid experience in data preprocessing, feature engineering, and model evaluation techniques.
  • Strong knowledge of software development best practices, version control systems, and agile methodologies.
  • Experience in the automotive industry is highly desirable.
  • Master's or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor's degree required.
  • Proven experience building multi-agent systems and frameworks with adaptive orchestration
  • Deep understanding of Jailbreak Detection (e.g., LlamaGuard) and PII masking techniques to ensure safe LLM interactions in regulated environments
  • In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms.
  • Results-driven with a positive can-do attitude and excellent problem-solving skills.
  • Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams.
  • Benefits Offered:
  • Competitive compensation and equity program
  • Health care plan (Medical, Dental & Vision)

Nice to have

  • Master's or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred.
  • Bachelor's degree required.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

Compensation

  • $227,500 - $300,000 USD

Benefits

  • Flexible and Dependent Care Expense program
  • Retirement plan (401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Unlimited paid time off per year, 15 paid holidays
  • Wellness benefit allowances (towards gym membership and fitness programs)
  • Internet reimbursement

Company info

  • At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles.
  • Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously.
  • Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner.
  • Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry.

This listing is sourced directly from Sonatus's careers page and normalized into a canonical job model.