算法工程師
- 20萬-40萬/年
- 深圳
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- 5年以上
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- 本科
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- 全職
職位誘惑: 年終獎金,五險一金,老板nice,年底雙薪,天天下午茶,成長空間大,節(jié)日禮物
發(fā)布時間: 2019-06-28發(fā)布
職位描述
工作職責(zé):
1. 基于飛行時間成像(ToF, time-of-flight)的產(chǎn)品與系統(tǒng)的開發(fā)
2. 負(fù)責(zé)產(chǎn)品的原理圖設(shè)計及PCB layout布線
3. 負(fù)責(zé)BOM整理,元器件選型
4. 負(fù)責(zé)產(chǎn)品與系統(tǒng)的調(diào)試,改進(jìn),以及相關(guān)技術(shù)文檔的編寫
5. 負(fù)責(zé)編寫成像算法與圖像識別算法并調(diào)試優(yōu)化
6. 與研發(fā)團(tuán)隊一起進(jìn)行系統(tǒng)開發(fā)測試
任職要求
1. 本科六年相關(guān)工作經(jīng)驗,碩士四年工作經(jīng)驗,博士一年工作經(jīng)驗
2. 有扎實的模擬,數(shù)字電路,信號完整性,電磁兼容等相關(guān)基礎(chǔ)知識
3. 熟練掌握PCB電路設(shè)計, 有 LVDS, MIPI, DDR 等高速接口設(shè)計經(jīng)驗
4. 掌握cadence, PADS, AD 等畫圖軟件,以及相關(guān)的電路仿真工具
5. 熟練使用示波器,頻譜分析儀等儀器設(shè)備
6. 熟練掌握Python,C++等語言
7. 熟悉深度學(xué)習(xí),有利用卷積神經(jīng)網(wǎng)絡(luò)(CNN)進(jìn)行圖像識別的經(jīng)驗
8. 有ARM, FPGA, DSP等相關(guān)設(shè)計經(jīng)驗者優(yōu)先
9. 有芯片測試開發(fā)經(jīng)驗者優(yōu)先
10. 熟悉信號處理,圖像處理的原理與算法
11. 熟練使用Python, C++等語言
12. 熟悉計算機視覺者優(yōu)先
13. 熟悉壓縮感知
14. 了解GPU加速者優(yōu)先
15. 熟悉光學(xué)系統(tǒng)的各個部分,包括光源和傳感器
16. 具有飛行時間成像系統(tǒng)工作者優(yōu)先
17. 具有激光驅(qū)動器,接收器的讀取電路設(shè)計經(jīng)驗者優(yōu)先
18. 有獨立發(fā)現(xiàn),分析和解決問題的能力,善于溝通,有團(tuán)隊合作精神
19. 具有快速學(xué)習(xí)能力
Imaging system and algorithm engineer
Job description:
1. Develop time-of-flight based imaging product and system.
2. Circuit schematics and PCB layout design.
3. BOM management, selection of component models.
4. Test and improve the product and system, compile related technical files.
5. Develop and optimize the computational imaging and computer vision algorithms.
6. Work together with the R&D team for system development and test.
Requirements/qualifications:
1. BA/BS degree in a related field, with 6-year practical experience, or MS/PhD degree with correspondingly equivalent working experience.
2. Solid knowledges on analogue, digital electronics, signal integrity, and electromagnetic compatibility.
3. Experience in PCB layout design. Experience in LVDS, MIPI, DDR and other high-speed port design.
4. Experience in electronic design software including Altium, cadence, PADS, and AD, and circuit simulation tools.
5. Experience with Python, C++, or other languages for deep learning.
6. Demonstrated ability on deep learning and computer vision.
7. Experience with signal processing and image processing.
8. Experience with compressed sensing and GPU-accelerated deep learning preferred.
9. Experience with optical system, including the light source and sensor, is preferred.
10. Experienced with oscilloscope, spectrum analyzer, and other equipment.
11. Experience in ToF-based imaging product or system highly preferred.
12. Experience in the design of laser driver and detector readout circuitry highly preferred.
13. Experience in ARM, FPGA, and DSP preferred.
14. Experience with chip test and development preferred.
15. Ability to find and solve problems independently.
16. Effective and collaborative communication skills.
17. Quick leaner with ability to follow direction and adapt to changes.