# Propulsion Equipment - Systems Engineer (m/f/d) at Deltavision

> Germany · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/personio%3Adeltavision%3A2784595 (read 2026-11-09).

## Facts (observed)

- Company: [Deltavision](https://alderhq.app/companies/deltavision)
- Location text: München
- Where it can be done from (inferred): Germany (evidence: "Location: München")
- Posted: 2026-09-07 (63 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://deltavision.jobs.personio.de/job/2784595
- Skills listed (inferred): Python

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Munich, n 21): p25 €66k, median €85k, p75 €120k

## Description (the employer's text)

### Your mission

Join our Munich team as the technical throughline for our equipment portfolio, focusing primarily on space valves (cryogenic, high-pressure, solenoid, and motorized). You will own the requirement and qualification thread from customer briefing to flight hardware:

- Requirements-Based Engineering: Lead technical exchanges with launch vehicle and satellite customers to translate mission constraints into actionable equipment specifications.
- Cross-Functional Anchor: Work daily at the core of Design Engineering, Test Engineering, and QA to align technical baselines, resolve trade-offs, and maintain a tidy technical baseline.
- Own Product Assurance (PA) Documentation: Author and own the majority of development PA deliverables. including FMECA, hazard analyses, compliance matrices, verification control documents (VCDs), and qualification data packages.
- System & Component Performance Sizing: Establish operational boundaries and performance budgets across fluid, thermal, and mechanical domains (e.g., flow capacities, pressure drops, actuation dynamics, thermal margins) to provide solid engineering baselines for the design team.
- Drive Product V&V: Define the qualification logic, test procedures, and pass/fail criteria to ensure every customer requirement is rigorously validated.
- Hands-on Lab Verification: Support functional checkouts, pressure tests, and cryogenic qualification campaigns on the bench alongside test and assembly crews.
- Pragmatic Automation: Use Python and modern AI tools to streamline data processing, automate traceability, and cut repetitive engineering documentation.
### Your profile

- Degree in Aerospace, Mechanical, Systems Engineering, or a related field.
- At least 1–2 years of practical experience in systems engineering, fluid systems, or hardware qualification (aerospace or regulated industry preferred).
- Proven hands-on hardware background: Direct experience assembling, troubleshooting, or testing physical fluid hardware and test setups.
- Solid grasp of fluid dynamics, thermodynamics, and pressurized equipment.
- Collaborative mindset with strong communication skills for customer meetings and internal cross-team alignment (Design, Test, QA).
- Working knowledge of Python or scripting; proactive in using modern AI tools critically to multiply engineering output without compromising technical rigor.
- Practical experience with modern requirements management tools and frameworks (e.g., Flow, Polarion, Jama, or similar digital engineering suites).
- Fluency in English (German is a plus).
### We offer

- Immediate and flexible start
- Permanent full-time position (40 h/week)
- Attractive salary package
- Start your “Side Quest”: We support passion projects – whether it’s building new tools, test stands, or prototypes outside your main scope.
- Shape our growth: As a fast-scaling company, we offer the opportunity to actively build structures and define our future path.
- 30 days annual vacation and flexible working hours
- Bike leasing, EGYM Wellpass and subsidy for the Deutschlandticket
- Complimentary beverages, company events, and professional development opportunities

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/personio%3Adeltavision%3A2784595 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.