Sonatus

Sonatus

Senior Technical Recruiter

Sunnyvale, CA · Senior

Sponsorship not specified$128k-$174kDetected 30 days ago
Machine LearningPipeline ManagementNegotiationRecruitingEmbedded SystemsResearchCommunicationProcurement

Stay score

odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). 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$74,7141 entry
Level II$98,3842 entries
Level III$122,0543 entries
Level IV$145,7254 entries

$17,725 more — $145,725 — 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 $145,725 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 "Human Resources Specialists" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Human Resources Specialists (13-1071) · 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

  • We are seeking an experienced Senior Technical Recruiter to join our team.
  • This is a hybrid role working from our Sunnyvale headquarters three days a week.

Responsibilities

  • Full-Cycle Recruitment: Drive the recruitment lifecycle for technical roles across AI/ML, software, embedded, systems, cloud, and related areas globally, ensuring an efficient, rigorous, and high-quality hiring process.
  • Recruiting Calibration & Strategy: Lead intake and calibration sessions, translating business and technical requirements into clear candidate profiles, sourcing strategies, assessment criteria, and recruiting plans.
  • Strategic Sourcing & Pipeline Development: Develop and execute creative, multi-channel sourcing strategies to engage high-caliber technical talent, continuously evaluating effectiveness and adjusting as needed.
  • Data & Pipeline Management: Maintain accurate Greenhouse data and leverage recruiting metrics to identify risks, forecast outcomes, diagnose bottlenecks, and adjust strategy while ensuring compliance.
  • Drive the recruitment lifecycle for technical roles across AI/ML, software, embedded, systems, cloud, and related areas globally, ensuring an efficient, rigorous, and high-quality hiring process.
  • Lead intake and calibration sessions, translating business and technical requirements into clear candidate profiles, sourcing strategies, assessment criteria, and recruiting plans.

Requirements

  • 5+ years of full-cycle technical recruiting experience in fast-paced startup or high-growth technology environments, with ownership of complex, competitive engineering searches.
  • Proven ability to advise engineering leaders, influence hiring decisions, challenge assumptions, and provide data- and market-driven recommendations.
  • Demonstrated success developing multi-channel sourcing strategies and recruiting passive talent across competitive technical domains such as software, embedded systems, cloud, or AI/ML.
  • Strong technical curiosity and AI fluency, with the ability to quickly understand complex technical domains, engage credibly with candidates and engineering stakeholders, and thoughtfully leverage AI to improve recruiting processes, productivity, research, sourcing, analysis, and decision-making.
  • Experience using recruiting metrics and funnel data to assess pipeline health, identify bottlenecks, forecast outcomes, and adjust strategy.
  • Ability to manage multiple complex searches while maintaining a strong candidate experience and effective stakeholder communication.
  • Excellent communication, interpersonal, and negotiation skills, with a track record of building strong candidate and hiring manager relationships.
  • Ability to work onsite at our Sunnyvale headquarters three days per week.
  • Sunnyvale HQ Benefits & Perks Offered:
  • Health care plan (Medical, Dental & Vision)
  • Flexible and Dependent Care Expense program

Compensation

  • $128,000 - $174,000 USD

Benefits

  • Wellness benefit allowance
  • Phone & 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.
  • 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.
  • 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.
  • Join us and help redefine what's possible as we shape the future of mobility.

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