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Overnight Application Software Engineer Jobs (NOW HIRING)

ManTech International

Web Application Software Engineer

$137K - $244K/yr

The Web Application Software Engineer will leverage their strong technical background and knowledge to design, develop, and integrate web-based applications supporting tactical situational awareness ...

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Overnight Application Software Engineer information

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$50.5K

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$152K

How much do overnight application software engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for overnight application software engineer in the United States is $110,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $135,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior software engineers, especially those in specialized fields like machine learning, cloud infrastructure, or with extensive experience at large tech companies, can earn $500,000 or more annually. High compensation often includes base salary, bonuses, and stock options, and typically requires advanced skills, certifications, and a strong track record in the industry.

What is L1, L2, L3, and L4 developer?

In software engineering, L1, L2, L3, and L4 typically refer to different levels of developer seniority or expertise, with L1 being entry-level and L4 being senior or lead developers. These levels often indicate experience, responsibility, and skill set, and are used by organizations to structure career progression and assign tasks accordingly. For an Overnight Application Software Engineer, understanding these levels can help clarify expectations for growth and required competencies.

Will AI replace coders by 2040?

As an Overnight Application Software Engineer, AI is expected to automate certain coding tasks, but it is unlikely to fully replace human coders by 2040. AI tools can assist with code generation and testing, but complex problem-solving, creativity, and understanding user needs remain essential skills for software engineers. Continuous learning and adapting to new technologies will be important in this evolving environment.

What engineers make $300,000 a year?

Senior software engineers, especially those working in high-demand fields like cloud computing, AI, or cybersecurity, can earn $300,000 or more annually, often with bonuses and stock options. These roles typically require extensive experience, advanced skills, and sometimes certifications, and are common in large tech companies or specialized consulting firms.

What is the difference between Overnight Application Software Engineer vs Application Software Engineer?

AspectOvernight Application Software EngineerApplication Software Engineer
Work HoursTypically overnight or late-night shiftsStandard daytime hours
Work EnvironmentSame as application engineers, often in tech offices or remoteOffice or remote work during regular hours
Required CredentialsBachelor's in CS or related, coding skills, experience variesBachelor's in CS or related, coding skills, experience varies
Industry UsageUsed in 24/7 tech services, cloud, or support rolesGeneral software development across industries

In summary, an Overnight Application Software Engineer works primarily during night shifts, often supporting 24/7 services, while a standard Application Software Engineer works during regular hours. Both roles require similar technical skills and educational backgrounds but differ mainly in work hours and shift timing.

What cities are hiring for Overnight Application Software Engineer jobs? Cities with the most Overnight Application Software Engineer job openings:
What are the most commonly searched types of Application Software Engineer jobs? The most popular types of Application Software Engineer jobs are:
What states have the most Overnight Application Software Engineer jobs? States with the most job openings for Overnight Application Software Engineer jobs include:
Overnight Application Software Engineer jobs near you
Application Software Engineer, Inference

Application Software Engineer, Inference

SpaceX

Palo Alto, CA • On-site

Full-time

Posted 8 days ago

SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

14th of 60 rated aerospace companies

Job description

Job Summary:
SpaceX is a pioneering aerospace company focused on making space exploration a reality. They are seeking an Application Software Engineer for their inference team to develop and optimize high-performance AI inference systems that support mission-critical applications at SpaceX.
Responsibilities:
• Develop highly reliable, high-throughput inference systems that serve the best AI models internally across SpaceX
• Architect and implement scalable distributed infrastructure for model serving, including load balancing, auto-scaling, batch scheduling, global KV cache, and continuous batching
• Optimize latency and throughput of model inference under real production workloads, including low-level GPU kernel work, quantization, speculative decoding, and other acceleration techniques
• Build reliable, high-concurrency serving systems with 100% uptime, low tail latency, and excellent observability
• Own end-to-end components such as request routing, SDK development, rate limiting, and efficient scaling for internal SpaceX AI inference platforms
• Benchmark, fine-tune, and accelerate inference engines (e.g., SGLang, vLLM, TensorRT-LLM)
• Develop custom tools for tracing, replaying, and resolving issues across the full stack — from orchestration down to GPU kernels
• Create robust CI/CD infrastructure for seamless endpoint deployment, image publishing, and inference engine updates
• Collaborate across SpaceXAI teams to integrate inference capabilities into broader systems and workflows
Qualifications:
Required:
• Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree
• Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems
• 1+ years of experience in full stack development or backend development with production systems
• 1+ years of experience with Rust or C++
• You may be asked to work extended hours/weekends dependent on launch cadence and platform demands
• This role requires you to be onsite in Palo Alto. Remote and/or hybrid work will not be considered
Preferred:
• Experience with LLM inference engines and serving frameworks (e.g., SGLang, vLLM, Triton, TensorRT-LLM)
• Deep low-level systems programming and optimizations: GPU kernels, code generation, batching, caching, parallelism, quantization, and speculative decoding
• Experience with large-scale, high-concurrency production serving systems
• Knowledge of service observability and reliability best practices
• Experience operating commonly used databases such as PostgreSQL, ClickHouse, or MongoDB
• Experience designing or building with agent SDKs and agent orchestration frameworks
• Experience with Docker, Kubernetes, and containerized applications
• Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping)
• Programming experience in Python, Go, or similar languages
• Experience with version control, continuous integration, continuous delivery, build systems, and monitoring
• Expertise in profiling and improving application performance
Company:
SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in 2002, the company is headquartered in Hawthorne, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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