Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 117 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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✓
What Axon Enterprise INC paid sponsored hires in similar roles13 certified filings for “Manufacturing Engineer II” (Industrial Engineers) in AZ: $107k–$123k, median $115k.
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 117 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Axon Enterprise INC paid sponsored hires in similar roles
- 13 certified filings for “Manufacturing Engineer II” (Industrial Engineers) in AZ: $107k–$123k, median $115k. Most were filed at wage level II (69%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
Join Axon and be a Force for Good.
At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
Your Impact
Axon’s NPI teams develop products that move from initial design to reliable, scalable production. As an Advanced Manufacturing Engineer II, you will develop and improve manufacturing processes, equipment, and factory layouts. You will partner with Design Engineering, NPI, Operations, Quality, Supply Chain, and manufacturing partners to identify risks early, resolve technical issues, and prepare products and processes for production.
This role is ideal for an engineer who thrives on collaborative problem-solving and can independently manage defined manufacturing engineering projects and workstreams while engaging senior engineers when broader technical leadership is needed.
Location: Onsite
Reports to : Director of Manufacturing Engineering
Direct Reports: None
What You’ll Do
• Design and develop manufacturing processes, equipment, fixtures, and line layouts that meet cost, ergonomic, quality, and cycle time requirements.
• Partner with Design Engineering and NPI teams to identify and address manufacturability, assembly, test, quality, and cost risks throughout product development.
• Support prototype and validation builds, including build preparation, equipment and process readiness, issue resolution, and documentation of results.
• Own assigned manufacturing engineering projects and workstreams, coordinating deliverables and communicating progress, risks, and recommendations to stakeholders.
• Apply structured problem-solving and root cause analysis to equipment and process issues; implement and verify corrective actions.
• Lead process characterization and optimization using DOE, SPC, and other data-driven methodologies.
• Analyze production and test data to identify trends, variation, yield issues, and improvement opportunities.
• Create and maintain process documentation, including process flow diagrams, PFMEAs, work instructions, and validation records.
• Collaborate with internal teams, contract manufacturers, joint development manufacturers, and equipment suppliers on process capability, equipment requirements, and build readiness.
• Support manufacturing quality methods such as measurement system analysis, GR&R, SPC, and inspection planning.
• Escalate significant technical risks and issues, with clear information on impact, options, and recommended next steps.
• Share findings and lessons learned to improve manufacturing readiness across NPI programs.
What You Bring
• Bachelor’s degree in Mechanical, Electrical, Manufacturing, or a related engineering field (or equivalent practical experience), with 5+ years of relevant experience in manufacturing, NPI, process, or automation engineering; or a Master’s degree with 4+ years of experience.
• Experience supporting product development builds, manufacturing process development, or production scale-up.
• Working knowledge of Design for Manufacturability (DFM) and Design for Assembly (DFA) principles with the ability to apply them in partnership with Design Engineering.
• Hands-on experience with manufacturing equipment, process development, fixture design, or factory layout.
• Proficiency with SolidWorks, Creo, or comparable CAD tools.
• Proficiency with statistical and quality methods suc
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